@article{AMEM:71,
	author={T. Amemiya},
	title={The Estimation of the Variances in a Variance--Components Model},
	journal={International Economic Review},
	volume={12},
	year={1971},
	pages={1--13}
}

@article{ANDE:HSIA:81,
	author={T.W. Anderson and C. Hsiao},
	title={Estimation of Dynamic Models With Error Components},
	journal={Journal of the American Statistical Association},
	volume={76},
	year={1981},
	pages={598--606}
}
@Article{ANDE:HSIA:82,
  author = 	 {T.W. Anderson and C. Hsiao},
  title = 	 {Formulation and estimation of dynamic models using panel data},
  journal = 	 {Journal of Econometrics},
  year = 	 {1982},
  OPTkey = 	 {},
  volume = 	 {18},
  OPTnumber = 	 {},
  pages = 	 {47-82},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@article{AREL:BOND:91,
	author={M. Arellano and S. Bond},
	title={Some Tests of Specification for Panel Data : Monte Carlo Evidence and an
		Application to Employment Equations},
	journal={Review of Economic Studies},
	volume={58},
	year={1991},
	pages={277--297}
}

@book{AREL:03,
	author={M. Arellano},
	title={Panel Data Econometrics},
	publisher={Oxford University press},
	year={2003}
}

@article{BALE:VARA:87,
	author={P. Balestra and J. Varadharajan--Krishnakumar},
	title={Full Information Estimations of a System of Simultaneous Equations With
		Error Components},
	journal={Econometric Theory},
	volume={3},
	year={1987},
	pages={223--246}
}

@article{BALT:81,
	author={B.H Baltagi},
	title={Simultaneous Equations With Error Components},
	journal={Journal of Econometrics},
	volume={17},
	year={1981},
	pages={21--49}
}

@book{BALT:01,
	author={B.H. Baltagi},
	title={Econometric Analysis of Panel Data},
	publisher={John Wiley and Sons ltd},
	year={2001},
	edition={3rd}
}

@book{BALT:03,
	author={B.H. Baltagi},
	title={Econometric Analysis of Panel Data},
	publisher={John Wiley and Sons ltd},
	year={2003},
	edition={4th}
}

@Book{PFAFF:08,
    title = {Analysis of Integrated and Cointegrated Time Series with R},
    author = {Bernhard Pfaff},
    publisher = {Springer},
    edition = {Second},
    address = {New York},
    year = {2008},
    note = {ISBN 0-387-27960-1},
    url = {https://CRAN.r-project.org/package=urca},
}

@Book{SEVE:02,
  author = 	 {Patrick Sevestre},
  ALTeditor = 	 {},
  title = 	 {Econom\'etrie des donn\'ees de panel},
  publisher = 	 {Dunod},
  year = 	 {2002},
  OPTkey = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTaddress = 	 {},
  OPTedition = 	 {},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}


@Book{PIRO:11,
  author = 	 {Alain Pirotte},
  ALTeditor = 	 {},
  title = 	 {Econom\'etrie des donn\'ees de panel},
  publisher = 	 {Economica},
  year = 	 {2011},
  OPTkey = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTaddress = 	 {},
  OPTedition = 	 {},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Book{HSIA:03,
  author = 	 {C. Hsiao},
  ALTeditor = 	 {},
  title = 	 {Analysis of Panel Data},
  publisher = 	 {Cambridge University Press},
  year = 	 {2003},
  OPTkey = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  address = 	 {Cambridge},
  OPTedition = 	 {},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@book{HSIA:14,
place={Cambridge},
edition={3},
series={Econometric Society Monographs},
title={Analysis of Panel Data},
DOI={10.1017/CBO9781139839327},
publisher={Cambridge University Press},
author={Hsiao, Cheng},
year={2014},
collection={Econometric Society Monographs}
}

@article{BLUN:BOND:98,
	author={R. Blundell and S. Bond},
	title={Initial Conditions and Moment Restrictions in Dynamic
                  Panel Data Models},
	journal={Journal of Econometrics},
	volume={87},
	year={1998},
	pages={115--143}
}

@article{BREU:PAGA:80,
	author={T.S. Breusch and A.R. Pagan},
	title={The Lagrange Multiplier Test and Its Applications to Model Specification
		in Econometrics},
	journal={Review of Economic Studies},
	volume={47},
	year={1980},
	pages={239--253}
}

@article{CRIB:04,
	author={F. Cribari--Neto},
	title={Asymptotic Inference Under Heteroskedasticity of Unknown Form},
	journal={Computational Statistics & Data Analysis},
	volume={45},
	year={2004},
	pages={215--233}
}

@article{GOUR:HOLL:MONF:82,
	author={C. Gourieroux and A. Holly and A. Monfort},
	title={Likelihood Ratio Test, Wald Test, and Kuhn--Tucker Test in Linear Models
		With Inequality Constraints on the Regression Parameters},
	journal={Econometrica},
	volume={50},
	year={1982},
	pages={63--80}
}

@book{GREE:03,
	author={W.H. Greene},
	title={Econometric Analysis},
	publisher={Prentice Hall},
	year={2003},
	edition={5th}
}

@book{GREE:12,
	author={W.H. Greene},
	title={Econometric Analysis},
	publisher={Prentice Hall},
	year={2012},
	edition={7th}
}

@book{GREE:18,
	author={W.H. Greene},
	title={Econometric Analysis},
	publisher={Prentice Hall},
	year={2018},
	edition={8th}
}

@article{HAUS:78,
	author={J.A. Hausman},
	title={Specification Tests in Econometrics},
	journal={Econometrica},
	volume={46},
	year={1978},
	pages={1251--1271}
}

@article{HAUS:TAYL:81,
	author={J.A. Hausman and W.E. Taylor},
	title={Panel Data and Unobservable Individual Effects},
	journal={Econometrica},
	volume={49},
	year={1981},
	pages={1377--1398}
}

@article{HOLT:NEWE:ROSE:88,
	author={D. Holtz--Eakin and W. Newey and H.S. Rosen},
	title={Estimating Vector Autoregressions With Panel Data},
	journal={Econometrica},
	volume={56},
	year={1988},
	pages={1371--1395}
}

@article{HOND:85,
	author={Y. Honda},
	title={Testing the Error Components Model With Non--Normal Disturbances},
	journal={Review of Economic Studies},
	volume={52},
	year={1985},
	pages={681--690}
}

@article{KING:WU:97,
	author={M.L. King and P.X. Wu},
	title={Locally Optimal One--Sided Tests for Multiparameter Hypothese},
	journal={Econometric Reviews},
	volume={33},
	year={1997},
	pages={523--529}
}

@article{MACK:WHIT:85,
	author={J.G. MacKinnon and H. White},
	title={Some Heteroskedasticity--Consistent Covariance Matrix Estimators With Improved
		Finite Sample Properties},
	journal={Journal of Econometrics},
	volume={29},
	year={1985},
	pages={305--325}
}

@article{NERLO:71,
	author={M. Nerlove},
	title={Further Evidence on the Estimation of Dynamic Economic Relations from a
		Time--Series of Cross--Sections},
	journal={Econometrica},
	volume={39},
	year={1971},
	pages={359--382}
}

@book{STOC:WATS:07,
  title={Introduction to econometrics},
  author={Stock, James H and Watson, Mark W},
  year={2007},
  publisher={Pearson/Addison Wesley Boston}
}

@article{SWAM:70,
	author={P.A.V.B. Swamy},
	title={Efficient Inference in a Random Coefficient Regression Model},
	journal={Econometrica},
	volume={38},
	year={1970},
	pages={311--323}
}

@book{SWAM:71,
	author={P.A.V.B. Swamy},
	title={Statistical Inference in Random Coefficient Regression Models},
	year={1971},
	publisher={Springer}
}

@article{SWAM:AROR:72,
	author={P.A.V.B. Swamy and S.S Arora},
	title={The Exact Finite Sample Properties of the Estimators of Coefficients in
		the Error Components Regression Models},
	journal={Econometrica},
	volume={40},
	year={1972},
	pages={261--275}
}

@article{WALL:HUSS:69,
	author={T.D. Wallace and A. Hussain},
	title={The Use of Error Components Models in Combining Cross Section With Time
		Series Data},
	journal={Econometrica},
	volume={37},
	year={1969},
	pages={55--72},
	number={1}
}

@book{WOOL:02,
	author={J.M. Wooldridge},
	title={Econometric Analysis of Cross--Section and Panel Data},
	year={2002},
	publisher={MIT Press}
}

@book{WOOL:10,
	author={J.M. Wooldridge},
	title={Econometric Analysis of Cross--Section and Panel Data},
	year={2010},
	edition={2nd},
	publisher={MIT Press},
}

@book{WOOL:13,
	author={J.M. Wooldridge},
	title={Introductory Econometrics: a modern approach},
	publisher={South-Western (Cengage Learning)},
	edition={5th},
	year={2013}
}

@article{ZEIL:04,
	author={A. Zeileis},
	title={Econometric Computing With {HC} and {HAC} Covariance Matrix Estimators},
	journal={Journal of Statistical Software},
	volume={11},
	year={2004},
	pages={1--17},
	number={10},
	url={https://www.jstatsoft.org/article/view/v011i10}
}

@article{WHIT:80,
  title={A heteroskedasticity-consistent covariance matrix estimator
                  and a direct test for heteroskedasticity},
  author={White, Halbert},
  journal={Econometrica},
  volume={48},
  number={4},
  pages={817--838},
  year={1980},
  publisher={JSTOR}
}

@article{WIND:05,
	author={F. Windmeijer},
	title={A Finite Sample Correction for the Variance of Linear Efficient Two--Steps
		{GMM} Estimators},
	journal={Journal of Econometrics},
	year={2005},
	volume={126},
	pages={25--51}
}

@article{MUNN:90,
	author={A. Munnell},
	title={Why Has Productivity Growth Declined? Productivity and Public Investment},
	journal={New England Economic Review},
	year={1990},
	pages={3--22}
}

@article{BERA:SOSA:YOON:01,
	author={A.K. Bera and W. Sosa--Escudero and M. Yoon},
	title={Tests for the Error Component Model in the Presence of Local Misspecification},
	journal={Journal of Econometrics},
	volume={101},
	year={2001},
	pages={1--23}
}

@article{BALT:LI:91,
	author={B. Baltagi and Q. Li},
	title={A Joint Test for Serial Correlation and Random Individual Effects},
	journal={Statistics and Probability Letters},
	volume={11},
	year={1991},
	pages={277--280}
}

@article{BALT:LI:95,
	author={B. Baltagi and Q. Li},
	title={Testing {AR}(1) Against {MA}(1) Disturbances in an Error Component Model},
	journal={Journal of Econometrics},
	volume={68},
	year={1995},
	pages={133--151}
}

@article{BALT:LI:97,
	author={B. Baltagi and Q. Li},
	title={Monte Carlo Results on Pure and Pretest Estimators of an Error Components
		Model With Autocorrelated Disturbances},
	journal={Annales d'Economie et de Statistique},
	volume={48},
	year={1997},
	pages={69--82}
}

@article{LAIR:WARE:82,
	author={N.M. Laird and J.H. Ware},
	title={Random--Effects Models for Longitudinal Data},
	journal={Biometrics},
	volume={38},
	year={1982},
	pages={963--974}
}

@article{BATE:04,
	author={Douglas Bates},
	title={Least Squares Calculations in \proglang{R}},
	journal={\proglang{R}--news},
	volume={4},
	year={2004},
	pages={17--20},
	number={1}
}

@article{MUND:78,
	author={Yair Mundlak},
	title={On the Pooling of Time Series and Cross Section Data},
	journal={Econometrica},
	volume={46},
	year={1978},
	pages={69--85},
	number={1}
}

@book{FOX:02,
	author={John Fox},
	title={An \proglang{R} and \proglang{S--plus} Companion to Applied Regression},
	publisher={Sage},
	year={2002}
}

@booklet{STOC:WATS:06,
	author={James Stock and Mark Watson},
	title={Heteroskedasticity--Robust Standard Errors for Fixed Effects Panel Data
		Regression},
	howpublished={NBER WP 0323},
	year={2006}
}

@article{STOC:WATS:08,
	author={James H. Stock and Mark W. Watson},
	title={Heteroskedasticity--Robust Standard Errors for Fixed Effects Panel Data
		Regression },
	journal={Econometrica },
	volume={76},
	year={2008},
	pages={155--174},
	number={1}
}


@manual{ATKI:THER:07,
	author={Beth Atkinson and Terry Therneau},
	title={\pkg{kinship}: Mixed--Effects Cox Models, Sparse Matrices, and Modeling Data
		from Large Pedigrees},
	year={2007},
	note={\proglang{R} package version 1.1.0-18},
	url={https://CRAN.R-project.org}
}

@manual{KOEN:NG:2016,
	author={Roger Koenker and Pin Ng},
	title={\pkg{SparseM}: Sparse Linear Algebra },
	year={2016},
	note={\proglang{R} package version 1.72},
	url={https://CRAN.R-project.org/package=SparseM}
}

@manual{BATE:MAEC:2016,
	author={Douglas Bates and Martin Maechler},
	title={\pkg{Matrix}: Sparse and Dense Matrix Classes and Methods },
	year={2016},
	note={\proglang{R} package version 1.2-7.1},
	url={https://CRAN.R-project.org/package=Matrix}
}

@manual{BATE:MAEC:07,
	author={Douglas Bates and Martin Maechler},
	title={\pkg{matrix}: A Matrix Package for \proglang{R}},
	year={2007},
	note={\proglang{R} package version 0.99875-2},
	url={https://CRAN.R-project.org/package=Matrix}
}

@manual{KOEN:NG:07,
	author={Roger Koenker and Pin Ng},
	title={\pkg{SparseM}: Sparse Linear Algebra},
	year={2007},
	note={\proglang{R} package version 0.74},
	url={https://CRAN.r-project.org/package=SparseM}
}

@manual{CROI:06,
	author={Yves Croissant},
	title={\pkg{Ecdat}: Data Sets for Econometrics},
	year={2006},
	note={\proglang{R} package version 0.1-5},
	url={https://CRAN.r-project.org/package=Ecdat}
}

@manual{FOX:06,
	author={John Fox},
	title={\pkg{car}: Companion to Applied Regression},
	year={2007},
	note={\proglang{R} package version 1.2-5},
	url={https://CRAN.r-project.org/package=car, http://socserv.socsci.mcmaster.ca/jfox/}
}

@manual{FOX:2016,
	author={John Fox},
	title={\pkg{car}: Companion to Applied Regression },
	year={2016},
	note={\proglang{R} package version 2.1-3},
	url={https://CRAN.R-project.org/package=car}
}


@article{ZEIL:HOTH:02,
	author={Achim Zeileis and Torsten Hothorn},
	title={Diagnostic Checking in Regression Relationships},
	journal={\proglang{R} News},
	volume={2},
	year={2002},
	pages={7--10},
	number={3},
	url={https://CRAN.R-project.org/doc/Rnews/}
}

@misc{HOTH:ZEIL:MILL:MITC:07,
	author={T. Hothorn and A. Zeileis and G. Millo and D. Mitchell},
	title={\pkg{lmtest}: Testing Linear Regression Models},
	year={2007},
	howpublished={\proglang{R} package version 0.9-19},
	url={https://CRAN.R-project.org/package=lmtest}
}

@manual{HOTH:ZEIL:FARE:CUMM:MILL:MITC:2015,
	author={T. Hothorn and A. Zeileis and R. W. Farebrother and C. Cummins and G. Millo and D. Mitchell},
	title={\pkg{lmtest}: Testing Linear Regression Models },
	year={2015},
	note={\proglang{R} package version 0.9-34},
	url={https://CRAN.R-project.org/package=lmtest}
}

@misc{LUML:ZEIL:07,
	author={T. Lumley and A. Zeileis},
	title={\pkg{sandwich}: Model--Robust Standard Error Estimation for Cross--Sectional,
		Time Series and Longitudinal Data},
	year={2007},
	howpublished={\proglang{R} package version 2.0-2},
	url={https://CRAN.R-project.org}
}

@manual{LUML:ZEIL:2015,
	author={T. Lumley and A. Zeileis},
	title={\pkg{sandwich}: Robust Covariance Matrix Estimators },
	year={2015},
	note={\proglang{R} package version 2.3-4},
	url={https://CRAN.R-project.org/package=sandwich}
}


@manual{PINH:BATE:DEBR:SARK:07,
	author={Jose Pinheiro and Douglas Bates and Saikat DebRoy and Deepayan Sarkar the
		\proglang{R} Core team},
	title={\pkg{nlme}: Linear and Nonlinear Mixed Effects Models},
	year={2007},
	note={\proglang{R} package version 3.1-86},
	url={https://CRAN.r-project.org/package=nlme}
}

@manual{BATE:07,
	author={Douglas Bates},
	title={\pkg{lme4}: Linear Mixed--Effects Models Using \proglang{S4} Classes},
	year={2007},
	note={\proglang{R} package version 0.99875-9},
	url={https://CRAN.r-project.org/package=lme4}
}

@article{CORN:RUPE:88,
	author={C. Cornwell and P. Rupert},
	title={Efficient Estimation With Panel Data: an Empirical Comparison of Instrumental
		Variables Estimators},
	journal={Journal of Applied Econometrics},
	volume={3},
	year={1988},
	pages={149--155}
}

@article{DRUK:03,
	author={D.M. Drukker},
	title={Testing for Serial Correlation in Linear Panel--Data Models},
	journal={The Stata Journal},
	volume={3},
	year={2003},
	pages={168-177},
	number={2}
}

@book{PINH:BATE:00,
	author={J.C. Pinheiro and D. Bates},
	title={Mixed--Effects Models in \proglang{S} and \proglang{S-plus}},
	publisher={Springer-Verlag},
	year={2000}
}

@unpublished{PESA:04,
	author={Pesaran, M.H.},
	title={General Diagnostic Tests for Cross Section Dependence in Panels},
	note={CESifo Working Paper Series, 1229},
	year={2004},
}

@article{DEHO:SARA:06,
	author={De Hoyos, R.E. and Sarafidis, V.},
	title={Testing for Cross--Sectional Dependence in Panel--Data Models},
	journal={The Stata Journal},
	volume={6},
	year={2006},
	pages={482-496},
	number={4}
}

@Manual{BIVA:08,
    title = {spdep: Spatial Dependence: Weighting Schemes, Statistics and Models},
    author = {Roger Bivand},
    year = {2008},
    note = {R package version 0.4-17},
 }


@Manual{R:2008,
  title     = {\proglang{R}: {A} Language and Environment for Statistical Computing},
  author    = {{\proglang{R} Development Core Team}},
  organization  = {\proglang{R} Foundation for Statistical Computing},
  address   = {Vienna, Austria},
  year      = {2008},
  note      = {{ISBN} 3-900051-07-0},
  url       = {https://www.r-project.org/}
}

  @Book{KLEI:ZEIL:08,
    title = {Applied Econometrics with {R}},
    author = {Christian Kleiber and Achim Zeileis},
    year = {2008},
    publisher = {Springer-Verlag},
    address = {New York},
    note = {{ISBN} 978-0-387-77316-2},
    url = {https://CRAN.R-project.org/package=AER},
 }

@Article{HARR:RUBI:78,
  author = 	 {Harrison, D. and Rubinfeld, D.L.},
  title = 	 {Hedonic housing prices and the demand for clean air},
  journal = 	 {Journal of Environmental Economics and Management},
  year = 	 {1978},
  OPTkey = 	 {},
  volume = 	 {5},
  OPTnumber = 	 {},
  pages = 	 {81-102},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALT:CHAN:94,
  author = 	 {Baltagi, B.H. and Chang, Y.J.},
  title = 	 {Incomplete panels: a comparative study of
                  alternative estimators for the unbalanced one-way
                  error component regression model},
  journal = 	 {Journal of Econometrics},
  year = 	 {1994},
  OPTkey = 	 {},
  volume = 	 {62},
  OPTnumber = {2},
  pages = 	 {67-89},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{ACEMO:JOHNO:ROBIN:YARED:08,
  author = 	 {A Daron Acemoglu and Simon Johnson and James A. Robinson and Pierre Yared},
  title = 	 {Income and democracy},
  journal = 	 {American Economic Review},
  year = 	 {2008},
  OPTkey = 	 {},
  volume = 	 {98(3)},
  OPTnumber = 	 {},
  pages = 	 {808-842},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{EGGER:PFAFF:04,
  author = 	 {Peter Egger and Michael Pfaffermayr},
  title = 	 {Distance, Trade, and {FDI}: A {H}ausman-{T}aylor {SUR} Approach},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {2004},
  OPTkey = 	 {},
  volume = 	 {19(2)},
  OPTnumber = 	 {},
  pages = 	 {227-46},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}


@Article{KESSL:HANSE:LESSM:11,
  author = 	 {Anke S. Kessler and  Nico A. Hansen and Christian Lessman},
  title = 	 {Interregional redistribution and mobility in
                  federations : a positive approach},
  journal = 	 {The Review of Economic Studies},
  year = 	 {2011},
  OPTkey = 	 {},
  volume = 	 {78},
  OPTnumber = 	 {},
  pages = 	 {1345-78},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BREND:DRAZE:08,
  author = 	 {Adi Brender and Allan Drazen},
  title = 	 {Budget deficits and economic growth affect reelection prospects? Evidence froma large panel of countries},
  journal = 	 {American Economic Review},
  year = 	 {2008},
  OPTkey = 	 {},
  volume = 	 {98(5)},
  OPTnumber = 	 {},
  pages = 	 {2203-2220},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}


@Article{Croissant:Millo:2008,
   author        = {Yves Croissant and Giovanni Millo},
   title         = {Panel Data Econometrics in \proglang{R}:
                    The \pkg{plm} Package},
   journal       = {Journal of Statistical Software},
   year          = {2008},
   volume        = {27},
   number        = {2},
   pages         = {1-43},
   url           = {https://www.jstatsoft.org/article/view/v027i02}
}


@Article{RAUX:SOUCH:CROIS:09,
  author = 	 {Charles Raux and St\'ephanie Souche and Yves Croissant},
  title = 	 {How fair is pricing perceived to be? An empirical study},
  journal = 	 {Public Choice},
  year = 	 {2009},
  OPTkey = 	 {},
  volume = 	 {139(1)},
  OPTnumber = 	 {},
  pages = 	 {227-240},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}


@Article{KESSL:HANSE:12,
  author = 	 {Anke S. Kessler and Nico A. Hansen},
  title = 	 {Interregional redistribution and mobility in federations: a positive approach},
  journal = 	 {Review of Economic Studies},
  year = 	 {2012},
  OPTkey = 	 {},
  volume = 	 {78(4)},
  OPTnumber = 	 {},
  pages = 	 {1345-1378},
  month = 	 {march},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{DRAK:07,
  author = 	 {Konstantinos Drakos},
  title = 	 {The size of under-reporting bias in recorded transational terrorist activity},
  journal = 	 {Journal of the Royal Statistical Society, Series A (Statistics in Society)},
  year = 	 {2007},
  OPTkey = 	 {},
  volume = 	 {170(4)},
  OPTnumber = 	 {},
  pages = 	 {909-921},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}


@Article{PORTO:REVEL:12,
  author = 	 {Edoardo Di Porto and Federico Revelli},
  title = 	 {Tax limited reaction functions},
  journal = 	 {Journal of applied econometrics},
  year = 	 {2012},
  OPTkey = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTpages = 	 {},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{MADDA:WU:99,
  author = 	 {G.S. Maddala and S. Wu},
  title = 	 {A comparative study of unit root tests with panel data and a new simple test},
  journal = 	 {Oxford Bulletin of Economics and Statistics},
  year = 	 {1999},
  OPTkey = 	 {},
  volume = 	 {61},
  OPTnumber = 	 {},
  pages = 	 {631-52},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{LEVIN:LIN:CHU:02,
  author = 	 {A. Levin and C.F. Lin and C.S.J. Chu},
  title = 	 {Unit root tests in panel data : asymptotic and finite-sample properties},
  journal = 	 {Journal of Econometrics},
  year = 	 {2002},
  OPTkey = 	 {},
  volume = 	 {108},
  OPTnumber = 	 {},
  pages = 	 {1-24},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{IM:PESAR:SHIN:03,
  author = 	 {K.S. Im and M.H. Pesaran and Y. Shin},
  title = 	 {Testing for unit roots in heterogenous panels},
  journal = 	 {Journal of Econometrics},
  year = 	 {2003},
  OPTkey = 	 {},
  volume = 	 {115(1)},
  OPTnumber = 	 {},
  pages = 	 {53-74},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HANS:82,
  author = 	 {L.P. Hansen},
  title = 	 {Large sample properties of generalized method
                  moments estimators},
  journal = 	 {Econometrica},
  year = 	 {1982},
  OPTkey = 	 {},
  volume = 	 {50},
  OPTnumber = 	 {},
  pages = 	 {1029-1054},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{ROOD:09,
  author = 	 {David Roodman},
  title = 	 {How to do xtabond2: An introduction to difference
                  and system {GMM} in Stata},
  journal = 	 {The Stata Journal},
  year = 	 {2009},
  OPTkey = 	 {},
  volume = 	 {9},
  OPTnumber = 	 {1},
  pages = 	 {86-136},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {},
  url = {https://www.stata-journal.com/article.html?article=st0159}
}

@Article{AREL:BOVE:95,
  author = 	 {M. Arellano and O. Bover},
  title = 	 {Another look at the at the instrumental variables
                  estimation of error components},
  journal = 	 {Journal of Econometrics},
  year = 	 {1995},
  OPTkey = 	 {},
  volume = 	 {68},
  OPTnumber = 	 {},
  pages = 	 {29-51},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{SARG:58,
  author = 	 {J.D. Sargan},
  title = 	 {The estimation of economic relationships using
                  instrumental variables},
  journal = 	 {Econometrica},
  year = 	 {1958},
  OPTkey = 	 {},
  volume = 	 {26},
  OPTnumber = 	 {},
  pages = 	 {393-415},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{ROOD:09b,
  author = 	 {David Roodman},
  title = 	 {A note on the theme of too many instruments},
  journal = 	 {Oxford Bulletin of Economics and Statistics},
  year = 	 {2009},
  OPTkey = 	 {},
  volume = 	 {71},
  OPTnumber = 	 {},
  pages = 	 {135-158},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{CASEL:ESQU:LEFO:96,
  author = 	 {Francesco Caselli and Gerardo Esquivel and Fernando Lefort},
  title = 	 {Reopening the convergence debate: a new look at
                  cross-country growth empirics},
  journal = 	 {Journal of Economic Growth},
  year = 	 {1996},
  OPTkey = 	 {},
  volume = 	 {1},
  OPTnumber = 	 {},
  pages = 	 {363-389},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BOND:HOEF:TEMP:01,
  author = 	 {Stephen R. Bond and Anke Hoeffler and Jonathan Temple},
  title = 	 {{GMM} estimation of empirical growth model},
  journal = 	 {CEPR Discussion Paper},
  year = 	 {2001},
  OPTkey = 	 {},
  volume = 	 {3048},
  OPTnumber = 	 {},
  OPTpages = 	 {1-33},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BOND:02,
  author = 	 {Stephen R. Bond},
  title = 	 {Dynamic panel data models: a guide to micro data
                  methods and practice},
  journal = 	 {Portugese Economic Journal},
  year = 	 {2002},
  OPTkey = 	 {},
  volume = 	 {1},
  OPTnumber = 	 {},
  pages = 	 {141-162},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BLUN:BOND:00,
  author = 	 {Richard Blundell and Stephen Bond},
  title = 	 {{GMM} estimation with persistent panel data: an
                  application to production functions},
  journal = 	 {Econometric Reviews},
  year = 	 {2000},
  OPTkey = 	 {},
  volume = 	 {19},
  number = 	 {3},
  pages = 	 {321-340},
  OPTmonth = 	 {},
  OPTnote = 	 {},	
  OPTannote = 	 {}
}

@Article{ALON:AREL:99,
  author = 	 {C. Alonso-Borrego and M. Arellano},
  title = 	 {Symmetrically Normalized Instrumental-Variable
                  Estimation Using Panel Data},
  journal = 	 {Journal of Business and Economic Statistics},
  year = 	 {1999},
  OPTkey = 	 {},
  volume = 	 {17},
  number = 	 {1},
  pages = 	 {36-49},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{LEVI:LOAY:BECK:00,
  author = 	 {Ross Levine and Norman Loayza and Thorsten Beck},
  title = 	 {Financial intermediation and growth: causalty and causes},
  journal = 	 {Journal of Monetary Economics},
  year = 	 {2000},
  OPTkey = 	 {},
  volume = 	 {46},
  OPTnumber = 	 {},
  pages = 	 {31-77},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{FORB:00,
  author = 	 {Kristin J. Forbes},
  title = 	 {A reassessment of the relation between inequality
                  and growth},
  journal = 	 {American Economic Review},
  year = 	 {2000},
  OPTkey = 	 {},
  volume = 	 {90},
  number = 	 {4},
  pages = 	 {869-887},
  month = 	 {september},
  OPTnote = 	 {},
  OPTannote = 	 {}
}


@InCollection{MAIR:HALL:96,
  author = 	 {J. Mairesse and B.H Hall},
  title = 	 {Estimating the productivity of research and
                  development in French and US manufacturing firms: an
                  exploration of simultaneity issues with {GMM} methods},
  booktitle = 	 {International productivity differences and their
                  explanations},
  OPTcrossref =  {},
  OPTkey = 	 {},
  pages = 	 {285-315},
  publisher = {Elsevier Science},
  year = 	 {1996},
  editor = 	 {K. Wagner and B. Van-Ark},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTtype = 	 {},
  OPTchapter = 	 {},
  OPTaddress = 	 {},
  OPTedition = 	 {},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{NICK:81,
  author = 	 {S.J. Nickel},
  title = 	 {Biaises in dynamic models with fixed effects},
  journal = 	 {Econometrica},
  year = 	 {1981},
  OPTkey = 	 {},
  volume = 	 {49},
  OPTnumber = 	 {},
  pages = 	 {1417-1426},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALE:NERL:66,
  author = 	 {Pietro Balestra and Marc Nerlove},
  title = 	 {Pooling cross-section and time-series data in the
                  estimation of dynamic models: The demand for natural
                  gas},
  journal = 	 {Econometrica},
  year = 	 {1966},
  OPTkey = 	 {},
  volume = 	 {34},
  OPTnumber = 	 {},
  pages = 	 {585-612},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{KIVI:95,
  author = 	 {Jan F. Kiviet},
  title = 	 {On bias, inconsistency, and efficiency of various
                  estimators in dynamic panel data models},
  journal = 	 {Journal of Econometrics},
  year = 	 {1995},
  OPTkey = 	 {},
  volume = 	 {68},
  OPTnumber = 	 {},
  pages = 	 {53-78},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

  @Article{ZEIL:CROI:10,
    title = {Extended Model Formulas in {R}: Multiple Parts and Multiple Responses},
    author = {Achim Zeileis and Yves Croissant},
    journal = {Journal of Statistical Software},
    year = {2010},
    volume = {34},
    number = {XYZ},
    pages = {1--12},
    url = {https://www.jstatsoft.org/article/view/v034i01},
 }



@InCollection{HARR:MATY:SEVE:08,
  author = 	 {Mark N. Harris and Laszlo Matyas and Patrick Sevestre},
  title = 	 {Dynamic models for short panels},
  booktitle = 	 {The Econometrics of Panel Data},
  OPTcrossref =  {},
  OPTkey = 	 {},
  pages = 	 {249-278},
  editor = {Laszlo Matyas and Patrick Sevestre},
  year = 	 {2008},
  publisher = 	 {Springer},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTtype = 	 {},
  OPTchapter = 	 {},
  OPTaddress = 	 {},
  OPTedition = 	 {},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{KINA:LAHI:93,
  author = 	 {Kinal, T. and Lahiri, K.},
  title = 	 {On the estimation of simultaneous-equations error-components models with an application to a model of developing country foreign trade},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {1993},
  OPTkey = 	 {},
  volume = 	 {8},
  OPTnumber = 	 {},
  pages = 	 {81-92},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{KHAN:KNIG:88,
  author = 	 {Khan, M. S. and Knight, M. D.},
  title = 	 {Import compression and export performance in developing countries},
  journal = 	 {Review of Economics and Statistics},
  year = 	 {1988},
  OPTkey = 	 {},
  volume = 	 {70},
  number = 	 {2},
  pages = 	 {315-321},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{COHE:EINA:03,
  author={Alma Cohen and Liran Einav},
  title={The Effects of Mandatory Seat Belt Laws on Driving Behavior and Traffic Fatalities},
  journal={The Review of Economics and Statistics},
  year=2003,
  volume={85},
  number={4},
  pages={828-843},
  month={November},
  keywords={}
}

@Article{PELT:75,
  author={Peltzman, Sam},
  title={The Effects of Automobile Safety Regulation},
  journal={Journal of Political Economy},
  year=1975,
  volume={83},
  number={4},
  pages={677-725},
  month={August},
  keywords={},
  abstract={No abstract is available for this item.}
}

@Article{AMEM:MACU:86,
  author={Amemiya, Takeshi and MaCurdy, Thomas E},
  title={Instrumental-Variable Estimation of an Error-Components Model},
  journal={Econometrica},
  year=1986,
  volume={54},
  number={4},
  pages={869-80},
  month={July}
}

@Article{BREU:MIZO:SCHM:89,
  author={Breusch, Trevor S and Mizon, Grayham E and Schmidt, Peter},
  title={Efficient Estimation Using Panel Data},
  journal={Econometrica},
  year=1989,
  volume={57},
  number={3},
  pages={695-700},
  month={May}
}

@Article{CORN:SCHM:WYHO:92,
  author={Cornwell, Christopher and Schmidt, Peter and Wyhowski, Donald},
  title={Simultaneous equations and panel data},
  journal={Journal of Econometrics},
  year=1992,
  volume={51},
  number={1-2},
  pages={151-181}
}

@Article{BALT:LIU:09,
  author={Baltagi, Badi H. and Liu, Long},
  title={A note on the application of EC2SLS and EC3SLS estimators in panel data models},
  journal={Statistics & Probability Letters},
  year=2009,
  volume={79},
  number={20},
  pages={2189-2192},
  month={October}
}

@InBook{WHIT:86,
  author = 	 {White, H.},
  ALTeditor = 	 {},
  title = 	 {Advances in statistical analysis and statistical
                  computing, vol. 1},
  chapter = 	 {Instrumental variables analogs of generalized least
                  squares estimators},
  publisher = 	 {Mariano, R.S.},
  year = 	 {1986},
  OPTkey = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTtype = 	 {},
  OPTaddress = 	 {},
  OPTedition = 	 {},
  OPTmonth = 	 {},
  OPTpages = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALT:LI:92,
  author={Baltagi, Badi H. and Li, Qi},
  title={A Note on the Estimation of Simultaneous Equations with Error Components},
  journal={Econometric Theory},
  year=1992,
  volume={8},
  number={01},
  pages={113-119},
  month={March}
}

@Article{ZELL:62,
  author = 	 {Zellner, A.},
  title = 	 {An efficient method of estimating seemingly unrelated regressions and tests of aggregation bias},
  journal = 	 {Journal of the American Statistical Association},
  year = 	 {1962},
  OPTkey = 	 {},
  volume = 	 {57},
  OPTnumber = 	 {},
  pages = 	 {500-509},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALT:80,
  author = 	 {Baltagi, B.H.},
  title = 	 {On seemingly unrelated regressions with error components},
  journal = 	 {Econometrica},
  year = 	 {1980},
  OPTkey = 	 {},
  volume = 	 {48},
  OPTnumber = 	 {},
  pages = 	 {1547-1551},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{AVER:77,
  author = 	 {Avery, R.B.},
  title = 	 {Error components and seemingly unrelated regressions},
  journal = 	 {Econometrica},
  year = 	 {1977},
  OPTkey = 	 {},
  volume = 	 {45},
  OPTnumber = 	 {},
  pages = 	 {199-209},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{KINA:LAHI:90,
  author = 	 {Kinal, T. and Lahiri, K.},
  title = 	 {A computational algorithm for multiple equation models with panel data},
  journal = 	 {Economic Letters},
  year = 	 {1990},
  OPTkey = 	 {},
  volume = 	 {34},
  OPTnumber = 	 {},
  pages = 	 {143-146},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{KUMB:96,
  author = 	 {Kumbhakar, S.C.},
  title = 	 {Estimation of cost efficiency with heteroscedasticity: an application to electric utilities},
  journal = 	 {Journal of the Royal Statistical Society, series D},
  year = 	 {1996},
  OPTkey = 	 {},
  volume = 	 {45},
  OPTnumber = 	 {},
  pages = 	 {319-335},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HORRA:SCHMI:96,
  author = 	 {Horrace, W.C. and Schmidt, P.},
  title = 	 {Confidence statements for efficiency estimates from stochastic frontier models},
  journal = 	 {Journal of Productivity Analysis},
  year = 	 {1996},
  OPTkey = 	 {},
  volume = 	 {7},
  OPTnumber = 	 {},
  pages = 	 {257-282},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HORRA:SCHMI:00,
  author = 	 {Horrace, W.C. and Schmidt, P.},
  title = 	 {Multiple Comparisons with the Best, with Economic Applications},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {2000},
  OPTkey = 	 {},
  volume = 	 {15},
  number = 	 {1},
  pages = 	 {1-26},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{ELGA:INAN:05,
  author = 	 {El-Gamal, Mahmoud and Inanoglu, Hulusi},
  title = 	 {Inefficiency and heterogeneity in Turkish banking:
                  1990-2000},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {2005},
  OPTkey = 	 {},
  volume = 	 {20},
  number = 	 {5},
  pages = 	 {641-664},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{SCHA/90,
  author = 	 {Schaller, Huntley},
  title = 	 {A re-examination of the Q theory of investment using {US} firm data},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {1990},
  OPTkey = 	 {},
  volume = 	 {5(4)},
  OPTnumber = 	 {},
  pages = 	 {309--325},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{TOBI/69,
  author = 	 {Tobin, James},
  title = 	 {A general equilibrium approach to monetary theory},
  journal = 	 {Journal of Money, Credit and Banking},
  year = 	 {1969},
  OPTkey = 	 {},
  volume = 	 {1},
  OPTnumber = 	 {1},
  pages = 	 {15--29},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}


@Manual{HLAV:13,
    title = {stargazer: LaTeX code for well-formatted regression and summary statistics tables},
    author = {Marek Hlavac},
    year = {2013},
    note = {R package version 3.0.1},
    organization = {Harvard University},
    address = {Cambridge, USA},
    url = {https://CRAN.R-project.org/package=stargazer},
 }

@Article{VELL:VERB:98,
  author = 	 {Vella, F. and Verbeek, M.},
  title = 	 {Whose wages do unions raise? A dynamic model of
                  unionism and wage rate determination for young men},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {1998},
  OPTkey = 	 {},
  volume = 	 {13},
  OPTnumber = 	 {},
  pages = 	 {163--183},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{CHAM:82,
  author = 	 {Chamberlain, Gary},
  title = 	 {Multivariate regression models for panel data},
  journal = 	 {Journal of Econometrics},
  year = 	 {1982},
  OPTkey = 	 {},
  volume = 	 {18},
  OPTnumber = 	 {},
  pages = 	 {5--46},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}
@article{BALT:SONG:KOH:03,
  title={Testing panel data regression models with spatial error correlation},
  author={Baltagi, Badi H and Song, Seuck Heun and Koh, Won},
  journal={Journal of Econometrics},
  volume={117},
  number={1},
  pages={123--150},
  year={2003},
  publisher={Elsevier}
}
@article{BALT:SONG:JUNG:KOH:07,
  title={Testing for serial correlation, spatial autocorrelation and random effects using panel data},
  author={Baltagi, Badi H and Heun Song, Seuck and Cheol Jung, Byoung and Koh, Won},
  journal={Journal of Econometrics},
  volume={140},
  number={1},
  pages={5--51},
  year={2007},
  publisher={Elsevier}
}
@article{GODF:78,
  title={Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables},
  author={Godfrey, Leslie G},
  journal={Econometrica},
  pages={1293--1301},
  volume = {46},
  number = {6},
  year={1978},
  publisher={JSTOR}
}
@article{BREU:78,
  title={Testing for autocorrelation in dynamic linear models},
  author={Breusch, Trevor S},
  journal={Australian Economic Papers},
  volume={17},
  number={31},
  pages={334--355},
  year={1978},
  publisher={Wiley Online Library}
}
@article{FRAN:HAYS:07,
  title={Spatial econometric models of cross-sectional interdependence in political science panel and time-series-cross-section data},
  author={Franzese, Robert J and Hays, Jude C},
  journal={Political Analysis},
  volume={15},
  number={2},
  pages={140--164},
  year={2007},
  publisher={SPM-PMSAPSA}
}
@article{FRAN:HAYS:06,
  title={Strategic Interaction among EU Governments in Active Labor Market Policy-making Subsidiarity and Policy Coordination under the European Employment Strategy},
  author={Franzese, Robert J and Hays, Jude C},
  journal={European Union Politics},
  volume={7},
  number={2},
  pages={167--189},
  year={2006},
  publisher={SAGE Publications}
}
@article{FRAN:HAYS:08,
  title={Interdependence in Comparative Politics Substance, Theory, Empirics, Substance},
  author={Franzese, Robert J and Hays, Jude C},
  journal={Comparative Political Studies},
  volume={41},
  number={4-5},
  pages={742--780},
  year={2008},
  publisher={Sage Publications}
}
@article{HOLL:PESA:YAMA:10,
  title={A spatio-temporal model of house prices in the USA},
  author={Holly, Sean and Pesaran, M Hashem and Yamagata, Takashi},
  journal={Journal of Econometrics},
  volume={158},
  number={1},
  pages={160--173},
  year={2010},
  publisher={Elsevier}
}
@book{LESA:PACE:10,
  title={Introduction to spatial econometrics},
  author={LeSage, James and Pace, Robert Kelley},
  year={2010},
  publisher={CRC press}
}
@article{ELHO:10,
  title={Applied spatial econometrics: raising the bar},
  author={Elhorst, J Paul},
  journal={Spatial Economic Analysis},
  volume={5},
  number={1},
  pages={9--28},
  year={2010},
  publisher={Taylor & Francis}
}
@inproceedings{HALL:ELHO:13,
  title={On spatial econometric models, spillover effects, and W},
  author={Vega, Solmaria Halleck and Elhorst, J Paul},
  booktitle={53rd ERSA conference, Palermo},
  year={2013}
}
@article{MANS:93,
  title={Identification of endogenous social effects: The reflection problem},
  author={Manski, Charles F},
  journal={The review of economic studies},
  volume={60},
  number={3},
  pages={531--542},
  year={1993},
  publisher={Oxford University Press}
}
@article{GIBB:OVER:12,
  title={MOSTLY POINTLESS SPATIAL ECONOMETRICS?},
  author={Gibbons, Stephen and Overman, Henry G},
  journal={Journal of Regional Science},
  volume={52},
  number={2},
  pages={172--191},
  year={2012},
  publisher={Wiley Online Library}
}
@article{CHEN:LIN:REED:09,
  title={A Monte Carlo Evaluation of the Efficiency of the PCSE Estimator},
  author={Chen, Xiujian and Lin, Shu and Reed, W Robert},
  journal={Applied Economics Letters},
  volume={17},
  number={1},
  pages={7--10},
  year={2009},
  publisher={Taylor & Francis}
}
@article{PARK:67,
  title={Efficient Estimation of a System of Regression Equations when Disturbances are both Serially and Contemporaneously Correlated},
  author={Parks, Richard W},
  journal={Journal of the American Statistical Association},
  volume={62},
  number={318},
  pages={500--509},
  year={1967},
  publisher={Taylor & Francis}
}
@article{DRIS:KRAA:98,
  title={Consistent covariance matrix estimation with spatially dependent panel data},
  author={Driscoll, John C and Kraay, Aart C},
  journal={Review of economics and statistics},
  volume={80},
  number={4},
  pages={549--560},
  year={1998},
  publisher={MIT Press}
}
@article{BECK:KATZ:95,
  title={What to do (and not to do) with time-series cross-section data},
  author={Beck, Nathaniel and Katz, Jonathan N},
  journal={American Political Science Review},
  volume={89},
  number={03},
  pages={634--647},
  year={1995},
  publisher={Cambridge Univ Press}
}
@article{ALVA:GARR:LANG:91,
  title={Government partisanship, labor organization, and macroeconomic performance},
  author={Alvarez, R Michael and Garrett, Geoffrey and Lange, Peter},
  journal={The American Political Science Review},
  volume = {85},
  number = {2},
  pages={539--556},
  year={1991},
  publisher={JSTOR}
}
@article{KIEF:80,
  title={Estimation of fixed effect models for time series of
                  cross-sections with arbitrary intertemporal
                  covariance},
  author={Kiefer, Nicholas M},
  journal={Journal of Econometrics},
  volume={14},
  number={2},
  pages={195--202},
  year={1980},
  publisher={Elsevier}
}
@article{DRUS:HORR:04,
  title={Generalized moments estimation for spatial panel data: Indonesian rice farming},
  author={Druska, Viliam and Horrace, William C},
  journal={American Journal of Agricultural Economics},
  volume={86},
  number={1},
  pages={185--198},
  year={2004},
  publisher={Oxford University Press}
}
@article{EBER:HELM:STRA:13,
  title={Do spillovers matter when estimating private returns to R\&D?},
  author={Eberhardt, Markus and Helmers, Christian and Strauss, Hubert},
  journal={Review of Economics and Statistics},
  volume={95},
  number={2},
  pages={436--448},
  year={2013},
  publisher={MIT Press}
}
@article{ANGR:NEWE:91,
  title={Over-identification tests in earnings functions with fixed effects},
  author={Angrist, Joshua D and Newey, Whitney K},
  journal={Journal of Business & Economic Statistics},
  volume={9},
  number={3},
  pages={317--323},
  year={1991},
  publisher={Taylor & Francis}
}
@article{HOTH:HORN:VAND:ZEIL:06,
  title={A Lego system for conditional inference},
  author={Hothorn, Torsten and Hornik, Kurt and Van De Wiel, Mark A and Zeileis, Achim},
  journal={The American Statistician},
  volume={60},
  number={3},
  year={2006}
}
@article{MOUL:86,
  title={Random group effects and the precision of regression estimates},
  author={Moulton, Brent R},
  journal={Journal of Econometrics},
  volume={32},
  number={3},
  pages={385--397},
  year={1986},
  publisher={Elsevier}
}
@article{THOM:11,
  title={Simple formulas for standard errors that cluster by both firm and time},
  author={Thompson, Samuel B},
  journal={Journal of Financial Economics},
  volume={99},
  number={1},
  pages={1--10},
  year={2011},
  publisher={Elsevier}
}
@misc{NEWE:WEST:86,
  title={A simple, positive semi-definite, heteroskedasticity and autocorrelationconsistent covariance matrix},
  author={Newey, Whitney K and West, Kenneth D},
  year={1986},
  publisher={National Bureau of Economic Research Cambridge, Mass., USA}
}
@article{NEWE:WEST:87,
  title={A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix},
  author={Newey, Whitney K and West, Kenneth D},
  journal={Econometrica},
  volume={55},
  number={3},
  pages={703--08},
  year={1987},
  publisher={Econometric Society}
}
@article{FROO:89,
  title={Consistent covariance matrix estimation with cross-sectional dependence and heteroskedasticity in financial data},
  author={Froot, Kenneth A},
  journal={Journal of Financial and Quantitative Analysis},
  volume={24},
  number={03},
  pages={333--355},
  year={1989},
  publisher={Cambridge Univ Press}
}
@article{AREL:87,
  title={Computing Robust Standard Errors for Within-groups Estimators},
  author={Arellano, Manuel},
  journal={Oxford bulletin of Economics and Statistics},
  volume={49},
  number={4},
  pages={431--434},
  year={1987},
  publisher={Wiley Online Library}
}
@article{LIAN:ZEGE:86,
  title={Longitudinal data analysis using generalized linear models},
  author={Liang, Kung-Yee and Zeger, Scott L},
  journal={Biometrika},
  volume={73},
  number={1},
  pages={13--22},
  year={1986},
  publisher={Biometrika Trust}
}
@article{MOUL:90,
  title={An illustration of a pitfall in estimating the effects of aggregate variables on micro units},
  author={Moulton, Brent R},
  journal={The Review of Economics and Statistics},
  pages={334--338},
  year={1990},
  volume = {72},
  number = {2},
  publisher={JSTOR}
}
@article{ZEIL:06,
  author = {Achim Zeileis},
  title = {Object-Oriented Computation of Sandwich Estimators},
  year = {2006},
  journal = {Journal of Statistical Software},
  volume = {16},
  number = {9},
  pages = {1--16},
  url = {https://www.jstatsoft.org/article/view/v016i09}
}
@article{ZEIL:06b,
  title={Implementing a class of structural change tests: An econometric computing approach},
  author={Zeileis, Achim},
  journal={Computational Statistics & Data Analysis},
  volume={50},
  number={11},
  pages={2987--3008},
  year={2006},
  publisher={Elsevier}
}
@article{ROGE:93,
  title={Regression standard errors in clustered samples},
  author={Rogers, W.H.},
  journal={Stata Technical Bulletin},
  volume={13},
  pages={19--23},
  year={1993},
  publisher={Stata Corporation}
}
@article{PETE:09,
  title={Estimating standard errors in finance panel data sets: Comparing approaches},
  author={Petersen, Mitchell A},
  journal={Review of financial studies},
  volume={22},
  number={1},
  pages={435--480},
  year={2009},
  publisher={Soc Financial Studies}
}
@article{CAME:GELB:MILL:11,
  title={Robust inference with multiway clustering},
  author={Cameron, A Colin and Gelbach, Jonah B and Miller, Douglas L},
  journal={Journal of Business & Economic Statistics},
  volume={29},
  number={2},
  year={2011}
}
@article{PESA:06,
  title={Estimation and inference in large heterogeneous panels with a
                  multifactor error structure},
  author={Pesaran, M Hashem},
  journal={Econometrica},
  volume={74},
  number={4},
  pages={967--1012},
  year={2006},
  publisher={Wiley Online Library}
}
@article{BECK:KATZ:96,
  title={Nuisance vs. substance: Specifying and estimating time-series-cross-section models},
  author={Beck, Nathaniel and Katz, Jonathan N},
  journal={Political analysis},
  volume={6},
  number={1},
  pages={1--36},
  year={1996},
  publisher={SPM-PMSAPSA}
}
@article{CHUD:PESA:TOSE:11,
  title={Weak and strong cross-section dependence and estimation of large panels},
  author={Chudik, Alexander and Pesaran, M Hashem and Tosetti, Elisa},
  journal={The Econometrics Journal},
  volume={14},
  number={1},
  pages={C45--C90},
  year={2011},
  publisher={Wiley Online Library}
}
@article{CROI:MILL:08,
  title={Panel data econometrics in R: The plm package},
  author={Croissant, Yves and Millo, Giovanni},
  journal={Journal of Statistical Software},
  volume={27},
  number={2},
  pages={1--43},
  year={2008}
}
@article{BECK:KATZ:ALVA:GARR:LANG:93,
  title={Government Partisanship, Labor Organization, and Macroeconomic Performance: A Corrigendum.},
  author={Beck, Nathaniel and Katz, Jonathan N and Alvarez, R Michael and Garrett, Geoffrey and Lange, Peter},
  journal={American Political Science Review},
  volume={87},
  number={04},
  pages={945--948},
  year={1993},
  publisher={Cambridge Univ Press}
}
@article{BAIL:KATZ:11,
  title={Implementing Panel-Corrected Standard Errors in R: The pcse Package},
  author={Bailey, Delia and Katz, Jonathan N},
  journal={Journal of Statistical Software},
  volume={42},
  number={CS1},
  pages={1--11},
  year={2011},
  publisher={University of California, Los Angeles}
}
@article{GOLD:PICC:08,
  title={Pork-Barrel Politics in Postwar Italy, 1953--94},
  author={Golden, Miriam A and Picci, Lucio},
  journal={American Journal of Political Science},
  volume={52},
  number={2},
  pages={268--289},
  year={2008},
  publisher={Wiley Online Library}
}
@article{COAK:FUER:SMIT:06,
  title={Unobserved heterogeneity in panel time series models},
  author={Coakley, Jerry and Fuertes, Ana-Maria and Smith, Ron},
  journal={Computational Statistics & Data Analysis},
  volume={50},
  number={9},
  pages={2361--2380},
  year={2006},
  publisher={Elsevier}
}
@Book{CAR:11,
  title = {An {R} Companion to Applied Regression},
  edition = {2nd},
  author = {John Fox and Sanford Weisberg},
  year = {2011},
  publisher = {Sage},
  address = {Thousand Oaks {CA}},
  url = {http://socserv.socsci.mcmaster.ca/jfox/Books/Companion}
}

@book{CHAM:98,
  title={Programming with data: A guide to the S language},
  author={Chambers, John M},
  year={1998},
  publisher={Springer}
}

@article{MUND:61,
  title={Empirical production function free of management bias},
  author={Mundlak, Yair},
  journal={Journal of Farm Economics},
  volume={43},
  number={1},
  pages={44--56},
  year={1961},
  publisher={Oxford University Press}
}

@inproceedings{LEIS:02,
  title={Sweave: Dynamic generation of statistical reports using literate data analysis},
  author={Leisch, Friedrich},
  booktitle={Compstat},
  pages={575--580},
  year={2002},
  organization={Springer}
}
@Article{SERL:SHIN:07,
  author = 	 {Serlenga, Laura and Shin, Yongcheol},
  title = 	 {Gravity models of intra-EU trade: application of the CCEP-HT estimation in heterogeneous panels with unobserved common time-specific factors},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {2007},
  OPTkey = 	 {},
  volume = 	 {22},
  OPTnumber = 	 {},
  pages = 	 {361--381},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALT:10,
  author = 	 {Baltagi, Badi},
  title = 	 {Narrow replication of Serlenga and Shin (2007) Gravity models of intra-EU trade: application of the CCEP-HT estimation in heterogeneous panels within unobserved common time-specific factors},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {2012},
  OPTkey = 	 {},
  volume = 	 {25},
  OPTnumber = 	 {},
  pages = 	 {505--506},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HUTC:NOY:05,
  author = 	 {Hutchison, Michael M. and Noy, Ilan},
  title = 	 {How bad are twins? Output costs of currency and banking crises},
  journal = 	 {Journal of Money, Credit and Banking},
  year = 	 {2005},
  OPTkey = 	 {},
  volume = 	 {4},
  OPTnumber = 	 {},
  pages = 	 {725--752},
  month = 	 {august},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{LEIF:13,
    title = {{texreg}: Conversion of Statistical Model Output in {R} to {\LaTeX} and HTML Tables},
    author = {Philip Leifeld},
    journal = {Journal of Statistical Software},
    year = {2013},
    volume = {55},
    number = {8},
    pages = {1--24},
    url = {https://www.jstatsoft.org/article/view/v055i08},
 }
@article{SARA:WANS:12,
  title={Cross-sectional dependence in panel data analysis},
  author={Sarafidis, Vasilis and Wansbeek, Tom},
  journal={Econometric Reviews},
  volume={31},
  number={5},
  pages={483--531},
  year={2012},
  publisher={Taylor & Francis}
}

@Article{BALT:KHAN:90,
  title = 	 {On efficient estimation with panel data: an empirical comparison of instrumental variables estimators},
  author = 	 {Baltagi, Badi H. and Khanti-Akom, Sophon},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {1990},
  OPTkey = 	 {},
  volume = 	 {5},
  number = 	 {4},
  OPTpages = 	 {401--406},
  month = 	 {Oct. - Dec.},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{CORN:TRUM:94,
  author = 	 {Cornwell, C. and Trumbull, W.N.},
  title = 	 {Estimating the economic model of crime with panel data},
  journal = 	 {Review of Economics and Statistics},
  year = 	 {1994},
  OPTkey = 	 {},
  volume = 	 {76},
  OPTnumber = 	 {},
  pages = 	 {360--366},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALT:06,
  author = 	 {Baltagi, B.H.},
  title = 	 {Estmating an economic model of crime using panel data from North Carolina},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {2006},
  OPTkey = 	 {},
  volume = 	 {21},
  number = 	 {4},
  OPTpages = 	 {543--547},
  month = 	 {May - June},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALT:LI:93,
  author = 	 {Baltagi, Badi H. and Li, Qi},
  title = 	 {A note on the estimation of simultaneous equations with error components},
  journal = 	 {Econometric Theory},
  year = 	 {1992},
  OPTkey = 	 {},
  volume = 	 {8},
  number = 	 {1},
  pages = 	 {113--119},
  month = 	 {March},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Book{WHIT:84b,
  author = 	 {White, H.},
  ALTeditor = 	 {},
  title = 	 {Asymptotic Theory for Econometricians},
  publisher = 	 {New York: Academic press},
  year = 	 {1984},
  OPTkey = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTaddress = 	 {},
  OPTedition = 	 {},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@book{BALT:05,
	author={B.H. Baltagi},
	title={Econometric Analysis of Panel Data },
	publisher={John Wiley and Sons ltd},
	year={2005},
	edition={3rd}
}


@book{BALT:13,
	author={B.H. Baltagi},
	title={Econometric Analysis of Panel Data},
	publisher={John Wiley and Sons ltd},
	year={2013},
	edition={5th}
}

@book{BALT:21,
	author={B.H. Baltagi},
	title={Econometric Analysis of Panel Data},
	publisher={Springer},
	year={2021},
	edition={6th}
}

@book{BALT:09,
	author={B.H. Baltagi},
	title={A Companion to Econometric Analysis of Panel Data},
	publisher={John Wiley and Sons ltd},
	year={2009},
	edition={}
}

@Article{BALT:SONG:JUNG:01,
  author = 	 {Baltagi, B.H. and Song, S.H. and Jung, B.C.},
  title = 	 {The unbalanced nested error component regression model},
  journal = 	 {Journal of Econometrics},
  year = 	 {2001},
  OPTkey = 	 {},
  volume = 	 {101},
  OPTnumber = 	 {},
  pages = 	 {357-381},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALT:PINN:95,
  author = 	 {Baltagi, Badi H. and Pinnoi, Nat},
  title = 	 {Public capital stock and state productivity growth:
                  further evidence from an error components model},
  journal = 	 {Empirical Economics},
  year = 	 {1995},
  OPTkey = 	 {},
  volume = 	 {20},
  OPTnumber = 	 {},
  pages = 	 {351-359},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{CECC:86,
  author = 	 {Cecchetti, Stephen G.},
  title = 	 {The frequency of price adjustment, a study of the newsstand prices of magazines},
  journal = 	 {Journal of Econometrics},
  year = 	 {1986},
  OPTkey = 	 {},
  volume = 	 {31},
  OPTnumber = 	 {},
  pages = 	 {255-274},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}


@Article{WILL:06,
  author = 	 {Willis, Jonathan L.},
  title = 	 {Magazine prices revisited},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {2006},
  OPTkey = 	 {},
  volume = 	 {21},
  number = 	 {3},
  pages = 	 {337-344},
  month = 	 {april},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{CHAM:80,
  author = 	 {Chamberlain, G.},
  title = 	 {Analysis of covariance with qualitative data},
  journal = 	 {Review of Economic Studies},
  year = 	 {1980},
  OPTkey = 	 {},
  volume = 	 {47},
  OPTnumber = 	 {},
  pages = 	 {225-238},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{FURM:STER:11,
  author = 	 {Furman, Jeffrey L. and Stern, Scott},
  title = 	 {Climbing atop the shoulders of giants: the impact of
                  institutions on cumulative research},
  journal = 	 {American Economic Review},
  year = 	 {2011},
  OPTkey = 	 {},
  volume = 	 {101},
  number = 	 {5},
  pages = 	 {1933-1963},
  month = 	 {august},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Book{CAME:TRIV:98,
  author = 	 {Cameron, A. Colin and Trivedi, Pravin K.},
  ALTeditor = 	 {},
  title = 	 {Regression analysis of count data},
  publisher = 	 {Cambridge},
  year = 	 {1998},
  OPTkey = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTaddress = 	 {},
  OPTedition = 	 {},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HAUS:HALL:GRIL:84,
  author = 	 {Hausman, J.A. and Hall, B.H. and Griliches, Z.},
  title = 	 {Econometric models for count data with and application to the patents--{R} and {D} relationship},
  journal = 	 {Econometrica},
  year = 	 {1984},
  OPTkey = 	 {},
  volume = 	 {52},
  OPTnumber = 	 {},
  pages = 	 {909-938},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{POWE:86,
  author = 	 {Powell, J.},
  title = 	 {Symmetrically trimmed least squares estimation for tobit models},
  journal = 	 {Econometrica},
  year = 	 {1986},
  OPTkey = 	 {},
  volume = 	 {54},
  OPTnumber = 	 {},
  pages = 	 {1435--1460},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HONO:92,
  author = 	 {Honor\'e, Bo E.},
  title = 	 {Trimmed LAD and least squares estimation of truncated and censored regression models with fixed effects},
  journal = 	 {Econometrica},
  year = 	 {1992},
  OPTkey = 	 {},
  volume = 	 {60},
  number = 	 {3},
  OPTpages = 	 {533-565},
  month = 	 {may},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HONO:02,
author="Honor{\'e}, Bo E.",
title="Nonlinear models with panel data",
journal="Portuguese Economic Journal",
year="2002",
volume="1",
number="2",
pages="163--179",
issn="1617-9838",
doi="10.1007/s10258-002-0007-y",
url="http://dx.doi.org/10.1007/s10258-002-0007-y"
}

@Article{TOBI:58,
  author = 	 {Tobin, James},
  title = 	 {Estimation of Relationships for Limited Dependent Variables},
  journal = 	 {Econometrica},
  year = 	 {1958},
  optkey = 	 {},
  volume = 	 {26},
  number = 	 {1},
  pages = 	 {24-36},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HAUS:WISE:76,
  author = 	 {Hausman, J.A. and Wise, D.A.},
  title = 	 {Social experimentation, truncated distributions, and
                  efficient estimation},
  journal = 	 {Econometrica},
  year = 	 {1976},
  OPTkey = 	 {},
  volume = 	 {45},
  number = 	 {4},
  pages = 	 {919--938},
  month = 	 {may},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{ANDE:LASS:NIEL:12,
  author = 	 {Andersen, Asger Lau and Lassen, David Dreyer and Nielsen, Lasse Holboll Westh},
  title = 	 {Late budgets},
  journal = 	 {American Economic Journal, Economic Policy},
  year = 	 {2012},
  OPTkey = 	 {},
  volume = 	 {4},
  number = 	 {4},
  pages = 	 {1-40},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{LAND:LANG:LIST:PRIC:RUPP:10,
  author = 	 {Landry, Craig E. and Lange, Andreas an List, John A. and Price, Michael K. and Rupp, Nicholas G.},
  title = 	 {Is a donor in hand better than two in the bush? Evidence from a natural field experiment},
  journal = 	 {American Economic Review},
  year = 	 {2012},
  OPTkey = 	 {},
  volume = 	 {100},
  number = 	 {3},
  pages = 	 {958-983},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@article{rac12,
  title={RStudio: A Platform-Independent {IDE} for {R} and {S}weave},
  author={Racine, Jeffrey S},
  journal={Journal of Applied Econometrics},
  volume={27},
  number={1},
  pages={167--172},
  year={2012},
  publisher={Wiley Online Library}
}
@article{koezei09,
  title={On reproducible econometric research},
  author={Koenker, Roger and Zeileis, Achim},
  journal={Journal of Applied Econometrics},
  volume={24},
  number={5},
  pages={833--847},
  year={2009},
  publisher={Wiley Online Library}
}
@article{pen11,
  title={Reproducible research in computational science},
  author={Peng, Roger D},
  journal={Science (New York, Ny)},
  volume={334},
  number={6060},
  pages={1226--1227},
  year={2011},
  publisher={NIH Public Access}
}

@article{thezei08,
  author = {Stefan Theu{\ss}l and Achim Zeileis},
  title = {Collaborative Software Development Using {R}-{F}orge},
  journal = {The {R} Journal},
  year = {2009},
  volume = {1},
  number = {1},
  pages = {9--14},
  month = {May}
}

@article{yalyal10,
  title={Should Economists Use Open Source Software for Doing Research?},
  author={Yalta, A Talha and Yalta, A Yasemin},
  journal={Computational Economics},
  volume={35},
  number={4},
  pages={371--394},
  year={2010},
  publisher={Springer}
}

@article{yalluc08,
  title={The {GNU/L}inux platform and freedom respecting software for economists},
  author={Yalta, A Talha and Lucchetti, Riccardo},
  journal={Journal of Applied Econometrics},
  volume={23},
  number={2},
  pages={279--286},
  year={2008},
  publisher={Wiley Online Library}
}

@article{yalyal07,
  title={GRETL 1.6. 0 and its numerical accuracy},
  author={Yalta, A Talha and Yalta, A Yasemin},
  journal={Journal of Applied Econometrics},
  volume={22},
  number={4},
  pages={849--854},
  year={2007},
  publisher={Wiley Online Library}
}

@misc{GRETL:2021,
title = {Gretl User’s Guide},
author = {Cottrell, Allin and Lucchetti, Riccardo},
month = {September},
year = {2021},
url = {https://gretl.sourceforge.net/}
}

@article{RACI:HYND:02,
  title={Using {R} to teach econometrics},
  author={Racine, Jeff and Hyndman, Rob},
  journal={Journal of Applied Econometrics},
  volume={17},
  number={2},
  pages={175--189},
  year={2002},
  publisher={Wiley Online Library}
}

@book{mur09,
  title={Introduction to Data Technologies},
  author={Murrell, Paul},
  year={2010},
  publisher={CRC Press}
}

@article{mil14,
  title={Maximum likelihood estimation of spatially and serially
                  correlated panels with random effects},
  author={Millo, Giovanni},
  journal={Computational Statistics & Data Analysis},
  volume={71},
  pages={914--933},
  year={2014},
  publisher={Elsevier}
}

@article{kappesyam11,
  title={Panels with non-stationary multifactor error structures},
  author={Kapetanios, George and Pesaran, M Hashem and Yamagata, Takashi},
  journal={Journal of Econometrics},
  volume={160},
  number={2},
  pages={326--348},
  year={2011},
  publisher={Elsevier}
}

@Manual{spdep,
    title = {spdep: Spatial dependence: weighting schemes, statistics and models},
    author = {Roger Bivand and with contributions by Micah Altman and
                  Luc Anselin and Renato Assunção and Olaf Berke and
                  Andrew Bernat and Guillaume Blanchet and Eric
                  Blankmeyer and Marilia Carvalho and Bjarke
                  Christensen and Yongwan Chun and Carsten Dormann and
                  Stéphane Dray and Rein Halbersma and Elias Krainski
                  and Pierre Legendre and Nicholas Lewin-Koh and
                  Hongfei Li and Jielai Ma and Giovanni Millo and
                  Werner Mueller and Hisaji Ono and Pedro Peres-Neto
                  and Gianfranco Piras and Markus Reder and Michael
                  Tiefelsdorf and Danlin Yu.},
    year = {2012},
    note = {R package version 0.5-46},
    url = {https://CRAN.R-project.org/package=spdep},
}

@article{ebe12,
  title={Estimating panel time-series models with heterogeneous slopes},
  author={Eberhardt, Markus},
  journal={Stata Journal},
  volume={12},
  number={1},
  pages={61--71},
  year={2012},
  publisher={StataCorp LP}
}

@article{ebe11,
  title={XTCD: Stata module to investigate Variable/Residual Cross-Section Dependence},
  author={Eberhardt, Markus},
  journal={Statistical Software Components},
  year={2011},
  publisher={Boston College Department of Economics}
}

@article{lew07,
  title={PESCADF: Stata module to perform Pesaran's CADF panel unit root test in presence of cross section dependence},
  author={Lewandowski, Piotr},
  journal={Statistical Software Components},
  year={2007},
  publisher={Boston College Department of Economics}
}

@article{pes06,
  title={Estimation and inference in large heterogeneous panels with a multifactor error structure},
  author={Pesaran, M Hashem},
  journal={Econometrica},
  volume={74},
  number={4},
  pages={967--1012},
  year={2006},
  publisher={Wiley Online Library}
}

@article{merrac09,
  title={Towards reproducible econometric research: the Sweave framework},
  author={Meredith, Evan and Racine, Jeffrey S},
  journal={Journal of Applied Econometrics},
  volume={24},
  number={2},
  pages={366--374},
  year={2009},
  publisher={Wiley Online Library}
}

@article{arebon91,
  title={Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations},
  author={Arellano, Manuel and Bond, Stephen},
  journal={The Review of Economic Studies},
  volume={58},
  number={2},
  pages={277--297},
  year={1991},
  publisher={Oxford University Press}
}

@TechReport{pes04,
  title={General diagnostic tests for cross section dependence in panels},
  author={Pesaran, M Hashem},
  year={2004},
  institution={CESifo working paper series}
}

@Manual{Rsoft,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2014},
    url = {http://www.R-project.org/},
}

@article{dru03,
  title={Testing for serial correlation in linear panel-data models},
  author={Drukker, David M},
  journal={Stata Journal},
  volume={3},
  number={2},
  pages={168--177},
  year={2003}
}

@article{blubon98,
  title={Initial conditions and moment restrictions in dynamic panel data models},
  author={Blundell, Richard and Bond, Stephen},
  journal={Journal of econometrics},
  volume={87},
  number={1},
  pages={115--143},
  year={1998},
  publisher={Elsevier}
}

@article{ebe13,
  title={Estimating panel time-series models with heterogeneous slopes},
  author={Eberhardt, Markus},
  journal={Stata Journal},
  volume={12},
  number={1},
  pages={61--71},
  year={2012},
  publisher={StataCorp LP}
}

@Manual{xtable,
    title = {xtable: Export tables to LaTeX or HTML},
    author = {David B. Dahl},
    year = {2014},
    note = {R package version 1.7-4},
    url = {https://CRAN.R-project.org/package=xtable},
}

@Article{lmtest,
    title = {Diagnostic Checking in Regression Relationships},
    author = {Achim Zeileis and Torsten Hothorn},
    journal = {R News},
    year = {2002},
    volume = {2},
    number = {3},
    pages = {7--10},
    url = {https://CRAN.R-project.org/doc/Rnews/},
}

@article{are87,
  title={Computing Robust Standard Errors for Within Estimators},
  author={Arellano, Manuel},
  journal={Oxford bulletin of Economics and Statistics},
  volume={49},
  number = {4},
  pages={431--434},
  year={1987}
}

@article{pes07,
  title={A simple panel unit root test in the presence of cross-section dependence},
  author={Pesaran, M Hashem},
  journal={Journal of Applied Econometrics},
  volume={22},
  number={2},
  pages={265--312},
  year={2007},
  publisher={Wiley Online Library}
}

@article{pessmi95,
  title={Estimating long-run relationships from dynamic heterogeneous panels},
  author={Pesaran, M Hashem and Smith, Ron},
  journal={Journal of Econometrics},
  volume={68},
  number={1},
  pages={79--113},
  year={1995},
  publisher={Elsevier}
}

@article{saryamrob09,
  title={A test of cross section dependence for a linear dynamic panel model with regressors},
  author={Sarafidis, Vasilis and Yamagata, Takashi and Robertson, Donald},
  journal={Journal of econometrics},
  volume={148},
  number={2},
  pages={149--161},
  year={2009},
  publisher={Elsevier}
}

@article{fre95,
  title={Assessing cross-sectional correlation in panel data},
  author={Frees, Edward W},
  journal={Journal of econometrics},
  volume={69},
  number={2},
  pages={393--414},
  year={1995},
  publisher={Elsevier}
}

@article{mil15,
  title={Narrow Replication of 'A Spatio-Temporal Model of House
                  Prices in the USA' Using R},
  author={Millo, Giovanni},
  journal={Journal of Applied Econometrics},
  volume={30},
  number={4},
  pages={703--704},
  year={2015},
  publisher={Wiley Online Library}
}

@article{phimoo99,
  title={Linear regression limit theory for nonstationary panel data},
  author={Phillips, Peter CB and Moon, Hyungsik R},
  journal={Econometrica},
  volume={67},
  number={5},
  pages={1057--1111},
  year={1999},
  publisher={Wiley Online Library}
}

@incollection{balbrepir08,
  title={To pool or not to pool?},
  author={Baltagi, Badi H and Bresson, Georges and Pirotte, Alain},
  booktitle={The econometrics of panel data},
  pages={517--546},
  year={2008},
  publisher={Springer}
}

@article{balgrixio00,
  title={To pool or not to pool: Homogeneous versus heterogeneous estimators applied to cigarette demand},
  author={Baltagi, Badi H and Griffin, James M and Xiong, Weiwen},
  journal={The Review of Economics and Statistics},
  volume={82},
  number={1},
  pages={117--126},
  year={2000},
  publisher={MIT Press}
}

@article{balgri97,
  title={Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline},
  author={Baltagi, Badi H and Griffin, James M},
  journal={Journal of Econometrics},
  volume={77},
  number={2},
  pages={303--327},
  year={1997},
  publisher={Elsevier}
}

@article{balgripir02,
  title={Homogeneous, heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption},
  author={Baltagi, Badi H and Bresson, Georges and Griffin, James M and Pirotte, Alain},
  journal={Empirical Economics},
  volume={28},
  number={4},
  pages={795--811},
  year={2003},
  publisher={Springer}
}
@incollection{hsipes08,
  title={Random coefficient models},
  author={Hsiao, Cheng and Pesaran, M Hashem},
  booktitle={The econometrics of panel data},
  pages={185--213},
  year={2008},
  publisher={Springer}
}
@article{pestos11,
  title={Large panels with common factors and spatial correlation},
  author={Pesaran, M Hashem and Tosetti, Elisa},
  journal={Journal of Econometrics},
  volume={161},
  number={2},
  pages={182--202},
  year={2011},
  publisher={Elsevier}
}
@article{sto87,
  title={Asymptotic properties of least squares estimators of cointegrating vectors},
  author={Stock, James H},
  journal={Econometrica},
  pages={1035--1056},
  volume = {55},
  number = {5},
  year={1987},
  publisher={JSTOR}
}
@article{granew74,
  title={Spurious regressions in econometrics},
  author={Granger, Clive WJ and Newbold, Paul},
  journal={Journal of Econometrics},
  volume={2},
  number={2},
  pages={111--120},
  year={1974},
  publisher={Elsevier}
}
@article{phisul03,
  title={Dynamic panel estimation and homogeneity testing under cross section dependence},
  author={Phillips, Peter CB and Sul, Donggyu},
  journal={The Econometrics Journal},
  volume={6},
  number={1},
  pages={217--259},
  year={2003},
  publisher={Wiley Online Library}
}
@article{mil17,
  title={A simple randomization test for spatial correlation in the
                  presence of common factors and serial correlation},
  author={Millo, Giovanni},
  journal={Regional Science and Urban Economics},
  volume={66},
  number={},
  pages={28--38},
  year={2017},
  publisher={Elsevier}
}
@article{griarb10,
  title={Detecting negative spatial autocorrelation in georeferenced random variables},
  author={Griffith, Daniel A and Arbia, Giuseppe},
  journal={International Journal of Geographical Information Science},
  volume={24},
  number={3},
  pages={417--437},
  year={2010},
  publisher={Taylor & Francis}
}
@article{elhzig14,
  title={Competition in research activity among economic departments: Evidence by negative spatial autocorrelation},
  author={Elhorst, J Paul and Zigova, Katarina},
  journal={Geographical Analysis},
  volume={46},
  number={2},
  pages={104--125},
  year={2014},
  publisher={Wiley Online Library}
}
@article{balgri01,
  title={The econometrics of rational addiction: the case of cigarettes},
  author={Baltagi, Badi H and Griffin, James M},
  journal={Journal of Business & Economic Statistics},
  volume={19},
  number={4},
  pages={449--454},
  year={2001},
  publisher={Taylor & Francis}
}
@article{elh09,
  title={Evidence of political yardstick competition in France using a two-regime spatial Durbin model with fixed effects},
  author={Elhorst, J Paul and Fr{\'e}ret, Sandy},
  journal={Journal of Regional Science},
  volume={49},
  number={5},
  pages={931--951},
  year={2009},
  publisher={Wiley Online Library}
}
@article{belboc00,
  title={Applying the generalized-moments estimation approach to
                  spatial problems involving micro-level data},
  author={Bell, Kathleen P and Bockstael, Nancy E},
  journal={The review of economics and statistics},
  volume={82},
  number={1},
  pages={72--82},
  year={2000},
  publisher={MIT Press}
}

@inproceedings{Anselinetal:08,
	author={Anselin, L. and Le Gallo, J. and Jayet, H.},
	title={Spatial Panel Econometrics},
	booktitle={The Econometrics of Panel Data, Fundamentals and
                  Recent Developments in Theory and Practice (3rd
                  Edition)},
	year={2008},
	publisher={Springer-Verlag, Berlin Heidelberg},
	editor={Matyas, L. and Sevestre, P.},
	pages={624 -- 660}
}

@article{Elhorst:03,
	author={Elhorst, J.P.},
	title={Specification and estimation of spatial panel data models},
	journal={International Regional Sciences Review},
	volume={26},
	year={2003},
	pages={244--268},
	number={3}
}

@article{LeeYu:10b,
	author={Lee, L.F. and Yu, J.},
	title={Estimation of spatial autoregressive panel data models with fixed effects},
	journal={Journal of Econometrics},
	volume={154},
	year={2010},
	pages={165--185},
	number={2}
}

@article{LeeYu:10c,
	author={Lee, L.F. and Yu, J.},
	title={Some recent developments in spatial panel data models},
	journal={Regional Science and Urban Economics},
	volume={40},
	year={2010},
	pages={255--271},
	number={5}
}

@article{LeeYu:12,
	author={Lee,L. and Yu,J.},
	title={Spatial panels: random components versus fixed effects},
	journal={International Economic Review},
	volume={53},
	year={2012},
	pages={1369--1412},
	month={November},
	number={4}
}

@article{milpir12,
  title={splm: Spatial Panel Data Models in {R}},
  author={Millo, Giovanni and Piras, Gianfranco},
  journal={Journal of Statistical Software},
  volume={47},
  number={1},
  pages={1--38},
  year={2012}
}

@article{Case:91,
	author={Case, A.C.},
	title={Spatial Patterns in household demand},
	journal={Econometrica},
	volume={59},
	year={1991},
	pages={953--965},
	number={4}
}
@article{Kapooretal:07,
	author={Kapoor, M. and Kelejian, H.H. and Prucha, I.R.},
	title={Panel data model with spatially correlated error components},
	journal={Journal of Econometrics},
	volume={140},
	year={2007},
	pages={97--130},
	number={1}
}

@article{MutlPfaffermayr:11,
	author={Mutl, J. and Pfaffermayr, M.},
	title={The {H}ausman test in a Cliff and Ord panel model},
	journal={Econometrics Journal},
	volume={14},
	year={2011},
	pages={48--76},
	number={1}
}
@book{ANSE:88,
  title={Spatial econometrics: methods and models},
  author={Anselin, Luc},
  volume={4},
  year={1988},
  publisher={Springer}
}

@article{Magnus:78,
	author={Magnus, J.},
	title={Maximum likelihood estimation of the GLS model with unknown parameters in
		the disturbance covariance matrix},
	journal={Journal of Econometrics},
	volume={7},
	year={1978},
	pages={281-- 312}
}


@article{Elhorst:08,
	author={Elhorst, J.P.},
	title={Serial and Spatial error correlation},
	journal={Economics Letters},
	volume={100},
	year={2008},
	pages={422--424},
	number={3}
}

@article{OberhoferKmenta:74,
	author={Oberhofer, W. and Kmenta, J.},
	title={A general procedure for obtaining maximum likelihood estimates in generalized
		regression models},
	journal={Econometrica},
	volume={42},
	year={1974},
	pages={579--590},
	number={3}
}

@article{KelejianPrucha:98,
	author={Kelejian, H.H. and Prucha, I.R.},
	title={A Generalized Spatial Two Stages Least Square Procedure for Estimating a
		Spatial Autoregressive Model with Autoregressive Disturbances},
	journal={Journal of Real Estate Finance and Economics},
	volume={17},
	year={1998},
	pages={99--121},
	number={1}
}

@article{KelejianPrucha:99,
	author={Kelejian, H.H. and Prucha, I.R.},
	title={A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial
		Model},
	journal={International Economic Review},
	volume={40},
	year={1999},
	pages={509--533},
	number={2}
}
@article{bur80,
  title={On the Cliff-Ord test for spatial correlation},
  author={Burridge, Peter},
  journal={Journal of the Royal Statistical Society. Series B (Methodological)},
  pages={107--108},
  volume = {42},
  number = {1},
  year={1980},
  publisher={JSTOR}
}

@article{Fingleton:08,
	author={Fingleton, B.},
	title={A Generalized Method of Moments estimator for a spatial panel model with
		an endogenous spatial lag and spatial moving average errors},
	journal={Spatial Economic Analysis},
	volume={3},
	year={2008},
	pages={27--44},
	number={1}
}

@article{Baltagietal:13,
	author={Baltagi, B.H. and Egger, P. and Pfaffermayr, M.},
	title={A generalized spatial panel data model with random effects},
	journal={Econometric Reviews},
	volume={32},
	year={2013},
	pages={650--685},
	issue={5-6}
}

@article{ans88a,
  title={Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity},
  author={Anselin, Luc},
  journal={Geographical analysis},
  volume={20},
  number={1},
  pages={1--17},
  year={1988},
  publisher={Wiley Online Library}
}

@article{beryoo93,
  title={Specification testing with locally misspecified alternatives},
  author={Bera, Anil K and Yoon, Mann J},
  journal={Econometric theory},
  volume={9},
  number={04},
  pages={649--658},
  year={1993},
  publisher={Cambridge Univ Press}
}

@article{ansberfloyoo96,
  title={Simple diagnostic tests for spatial dependence},
  author={Anselin, Luc and Bera, Anil K and Florax, Raymond and Yoon, Mann J},
  journal={Regional Science and Urban Economics},
  volume={26},
  number={1},
  pages={77--104},
  year={1996},
  publisher={Elsevier}
}

@article{flofolrey03,
  title={Specification searches in spatial econometrics: the relevance of Hendry's methodology},
  author={Florax, Raymond JGM and Folmer, Hendrik and Rey, Sergio J},
  journal={Regional Science and Urban Economics},
  volume={33},
  number={5},
  pages={557--579},
  year={2003},
  publisher={Elsevier}
}

@article{elh10,
  title={Applied spatial econometrics: raising the bar},
  author={Elhorst, J Paul},
  journal={Spatial Economic Analysis},
  volume={5},
  number={1},
  pages={9--28},
  year={2010},
  publisher={Taylor & Francis}
}

@incollection{elh14a,
  title={Spatial panel data models},
  author={Elhorst, J Paul},
  booktitle={Spatial Econometrics},
  pages={37--93},
  year={2014},
  publisher={Springer}
}

@article{bermonsos09,
  title={Testing under local misspecification and artificial regressions},
  author={Bera, Anil K and Montes-Rojas, Gabriel and Sosa-Escudero, Walter},
  journal={Economics Letters},
  volume={104},
  number={2},
  pages={66--68},
  year={2009},
  publisher={Elsevier}
}

@article{debert10,
  title={Testing for spatial autocorrelation in a fixed effects panel data model},
  author={Debarsy, Nicolas and Ertur, Cem},
  journal={Regional Science and Urban Economics},
  volume={40},
  number={6},
  pages={453--470},
  year={2010},
  publisher={Elsevier}
}

@article{balsonjunkoh07,
	author={Baltagi, B.H. and Song, S.H. and Jung,B.C. and Koh,W.},
	title={Testing for serial correlation, spatial autocorrelation and random effects
		using panel data},
	journal={Journal of Econometrics},
	volume={140},
	year={2007},
	pages={5--51},
	number={1}
}

@article{mil17b,
	author={Millo, G.},
	title={Robust standard error estimators for panel models: A
                  unifying approach},
	journal={Journal of Statistical Software},
	volume={82},
	year={2017},
	pages={1--27},
	number={3}
}

@Article{BALT:LI:90,
  author = 	 {Baltagi, B.H. and Li, Q.},
  title = 	 {A Lagrange multiplier test for the error components model with incomplete panels},
  journal = 	 {Econometric Reviews},
  year = 	 {1990},
  OPTkey = 	 {},
  volume = 	 {9},
  OPTnumber = 	 {},
  pages = 	 {103--107},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BALT:CHAN:LI:92,
  author = 	 {Baltagi, B.H. and Chang, Y.J. and Li, Q.},
  title = 	 {Monte Carlo results on several new and existing tests for the error components model},
  journal = 	 {Journal of Econometrics},
  year = 	 {1992},
  OPTkey = 	 {},
  volume = 	 {54},
  OPTnumber = 	 {},
  pages = 	 {95--120},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}
@article{OBOJ:ETAL:15,
  title={Vegetation effects on the water balance of mountain grasslands depend on climatic conditions},
  author={Obojes, N and Bahn, M and Tasser, E and Walde, J and Inauen, Nicole and Hiltbrunner, Erika and Saccone, P and Lochet, J and Cl{\'e}ment, JC and Lavorel, S and others},
  journal={Ecohydrology},
  volume={8},
  number={4},
  pages={552--569},
  year={2015},
  publisher={Wiley Online Library}
}

@Article{CAUD:FORD:KASE:95,
  author = 	 {Caudill, Steven B. and Ford, Jon M. and Kaserman, David L.},
  title = 	 {Certificate-of-need regulation and the diffusion of innovations: a random coefficient model},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {1995},
  OPTkey = 	 {},
  volume = 	 {10},
  number = 	 {1},
  OPTpages = 	 {73--78},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}
@article{HALL:94,
  title={Testing for a unit root in time series with pretest data-based model selection},
  author={Hall, Alastair},
  journal={Journal of Business & Economic Statistics},
  volume={12},
  number={4},
  pages={461--470},
  year={1994},
  publisher={Taylor & Francis}
}

@Manual{foreign,
    title = {foreign: Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...},
    author = {{R Core Team}},
    year = {2017},
    note = {R package version 0.8-69},
    url = {https://CRAN.R-project.org/package=foreign},
}

@Book{XIE:15,
    title = {Dynamic Documents with {R} and knitr},
    author = {Yihui Xie},
    publisher = {Chapman and Hall/CRC},
    address = {Boca Raton, Florida},
    year = {2015},
    edition = {2nd},
    note = {ISBN 978-1498716963},
    url = {http://yihui.name/knitr/},
}
@Book{WICK:09,
    author = {Hadley Wickham},
    title = {ggplot2: Elegant Graphics for Data Analysis},
    publisher = {Springer-Verlag New York},
    year = {2009},
    isbn = {978-0-387-98140-6},
    url = {http://ggplot2.org},
 }

@manual{tantau:2013a,
   author    = {Till Tantau},
   year      = {2013},
   title     = {The TikZ and PGF Packages},
   subtitle  = {Manual for version 3.0.0},
   url       = {http://sourceforge.net/projects/pgf/},
   date      = {2013-12-20},
}

@Article{ROSS:HEIL:04,
  author = 	 {Rossini, A.J. and Heiberger, R.M. and Sparapani, R.A. and Maechler, M. and Hornik, K.},
  title = 	 {Emacs Speaks Statistics: a multiplatform, multipackage development environment for statistical analysis},
  journal = 	 {Journal of Computational and Graphical Statistics},
  year = 	 {2004},
  OPTkey = 	 {},
  OPTvolume = 	 {13},
  OPTnumber = 	 {1},
  OPTpages = 	 {247-261},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Manual{fiftystater,
    title = {fiftystater: Map Data to Visualize the Fifty U.S. States with Alaska and
Hawaii Insets},
    author = {William Murphy},
    year = {2016},
    note = {R package version 1.0.1},
    url = {https://CRAN.R-project.org/package=fiftystater},
 }

@Article{MICH:PAPA:16,
  author = 	 {Michalopoulos, Stelios and Papaioannou, Elias},
  title = 	 {The long-run effects of the scramble for Africa},
  journal = 	 {American Economic Review},
  year = 	 {2016},
  OPTkey = 	 {},
  volume = 	 {106},
  number = 	 {7},
  pages = 	 {1802-1848},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{CHAR:VILL:09,
  author = 	 {Charness, Gary and Villeval, Marie-Claire},
  title = 	 {Cooperation and competition in intergenerational experiments in the field and the laboratory},
  journal = 	 {American Economic Review},
  year = 	 {2009},
  OPTkey = 	 {},
  volume = 	 {99},
  number = 	 {3},
  pages = 	 {956-978},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BARD:MOOK:10,
  author = 	 {Bardhan, Pranab and Mookherjee, Dilip},
  title = 	 {Determinants of redistributive politics: an empirical analysis of land reform in west Bengal, India},
  journal = 	 {American Economic Review},
  year = 	 {2010},
  OPTkey = 	 {},
  volume = 	 {100},
  number = 	 {4},
  pages = 	 {1572-1600},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{REIN:REIN:TREB:16,
  author = 	 {Reinhart, Carmen M. and Reinhart, Vincent and Trebesch, Christoph},
  title = 	 {Global cycles: capital flows, commodities, and sovereign defaults, 1815-2015},
  journal = 	 {American Economic Review},
  year = 	 {2016},
  OPTkey = 	 {},
  volume = 	 {106},
  number = 	 {5},
  pages = 	 {574-580},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BRAN:COOP:06,
  author = 	 {Brandts, Jordi and Cooper, David J.},
  title = 	 {A change would do you good... An experimental study on how to overcome coordination failure in organizations},
  journal = 	 {American Economic Review},
  year = 	 {2006},
  OPTkey = 	 {},
  volume = 	 {96},
  number = 	 {3},
  pages = 	 {669-693},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{BAZZI:17,
  author = 	 {Bazzi, Samuel},
  title = 	 {Wealth heterogeneity and the income elasticity of migration},
  journal = 	 {American Economic Journal, Applied Economics},
  year = 	 {2017},
  OPTkey = 	 {},
  volume = 	 {9},
  number = 	 {2},
  pages = 	 {219-255},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{FARB:SILV:WACH:16,
  author = 	 {Farber, Henry S. and  Silverman, Dan and von Wachter, Till},
  title = 	 {Determinants of callbacks to job applications: an audit study},
  journal = 	 {American Economic Review},
  year = 	 {2016},
  OPTkey = 	 {},
  volume = 	 {106},
  number = 	 {5},
  pages = 	 {314-318},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{ALAN:HONO:HU:LETH:13,
  author = 	 {Alan, Sule and Honor\'e, Bo E. and Hu, Luojia and Leth-Petersen, Soren},
  title = 	 {Estimation of panel data regression model with two-sided censoring or truncation},
  journal = 	 {Journal of Econometric Methods},
  year = 	 {2013},
  OPTkey = 	 {},
  volume = 	 {3},
  number = 	 {1},
  pages = 	 {1-20},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{HAUS:HALL:GRIL:86,
  author = 	 {Hausman, J. and Hall, B.H. and Griliches, Z.},
  title = 	 {Patents and R&D: is there a lag?},
  journal = 	 {International Economic Review},
  year = 	 {1986},
  OPTkey = 	 {},
  OPTvolume = 	 {27},
  OPTnumber = 	 {},
  pages = 	 {265-283},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{CINC:97,
  author = 	 {Cincer, Michele},
  title = 	 {Patents, R&D, and technological spillovers at the firm level: some evidence from econometric count models for panel data},
  journal = 	 {Journal of Applied Econometrics},
  year = 	 {1997},
  OPTkey = 	 {},
  volume = 	 {12},
  number = 	 {3},
  OPTpages = 	 {265-280},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Article{ACCO:CORS:SIMO:14,
  author = 	 {Acconcia, Antonio and Corsetti, Giancarlo and Simonelli, Saverio},
  title = 	 {Mafia and public spending: evidence on the fiscal multiplier from a quasi-experiment},
  journal = 	 {American Economic Review},
  year = 	 {2014},
  OPTkey = 	 {},
  volume = 	 {104},
  OPTnumber = 	 {7},
  pages = 	 {2185-2209},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}
}

@Manual{CROI:MILL:17,
    title = {pder: Panel Data Econometrics with R},
    author = {Yves Croissant and Giovanni Millo},
    year = {2017},
    note = {R package version 1.0-0},
    url = {http://www.r-project.org},
 }

@Manual{CROI:17,
    title = {pglm: panel generalized linear model},
    author = {Yves Croissant},
    year = {2017},
    note = {R package version 0.2-0},
    url = {http://www.r-project.org},
 }

@Manual{CROI:ZEIL:16,
    title = {truncreg: Truncated Gaussian Regression Models},
    author = {Yves Croissant and Achim Zeileis},
    year = {2016},
    note = {R package version 0.2-4},
    url = {https://CRAN.R-project.org/package=truncreg},
 }

@Book{survival-book,
    title = {Modeling Survival Data: Extending the {C}ox Model},
    author = {Therneau, Terry M. and Grambsch, Patricia M.},
    year = {2000},
    publisher = {Springer},
    address = {New York},
    isbn = {0-387-98784-3},
 }
 
@Manual{HENN:17,
    title = {censReg: Censored Regression (Tobit) Models},
    author = {Arne Henningsen},
    year = {2017},
    note = {R package version 0.5-26},
    url = {https://CRAN.R-project.org/package=censReg},
 }

@Book{VENA:RIPL:02,
    title = {Modern Applied Statistics with S},
    author = {W. N. Venables and B. D. Ripley},
    publisher = {Springer},
    edition = {4th},
    address = {New York},
    year = {2002},
    note = {ISBN 0-387-95457-0},
    url = {http://www.stats.ox.ac.uk/pub/MASS4},
 }

@Manual{PINH:17,
    title = {{nlme}: Linear and Nonlinear Mixed Effects Models},
    author = {Jose Pinheiro and Douglas Bates and Saikat DebRoy and Deepayan Sarkar and {R Core Team}},
    year = {2017},
    note = {R package version 3.1-131},
    url = {https://CRAN.R-project.org/package=nlme},
 }

@Article{JACK:11,
    title = {Multi-State Models for Panel Data: The {msm} Package for {R}},
    author = {Christopher H. Jackson},
    journal = {Journal of Statistical Software},
    year = {2011},
    volume = {38},
    number = {8},
    pages = {1--29},
    url = {https://www.jstatsoft.org/article/view/v038i08},
}

@Manual{WICK:FRAN:16,
    title = {dplyr: A Grammar of Data Manipulation},
    author = {Hadley Wickham and Romain Francois},
    year = {2016},
    note = {R package version 0.5.0},
    url = {https://CRAN.R-project.org/package=dplyr},
 }
 
@Manual{BDSM:14,
    title = {bdsmatrix: Routines for Block Diagonal Symmetric matrices},
    author = {Terry Therneau},
    year = {2014},
    note = {R package version 1.3-2},
    url = {https://CRAN.R-project.org/package=bdsmatrix},
}

@Article{SPAM:10,
    title = {{spam}: A Sparse Matrix {R} Package with Emphasis on {MCMC} Methods for {G}aussian {M}arkov Random Fields},
    author = {Reinhard Furrer and Stephan R. Sain},
    journal = {Journal of Statistical Software},
    year = {2010},
    volume = {36},
    number = {10},
    pages = {1--25},
    url = {https://www.jstatsoft.org/article/view/v036i10},
}

@Manual{MATR:16,
    title = {Matrix: Sparse and Dense Matrix Classes and Methods},
    author = {Douglas Bates and Martin Maechler},
    year = {2016},
    note = {R package version 1.2-4},
    url = {https://CRAN.R-project.org/package=Matrix},
}

@Article{MAXL:11,
    title = {maxLik: A package for maximum likelihood estimation in {R}},
    author = {Arne Henningsen and Ott Toomet},
    journal = {Computational Statistics},
    year = {2011},
    volume = {26},
    number = {3},
    pages = {443-458},
    doi = {10.1007/s00180-010-0217-1},
    url = {http://dx.doi.org/10.1007/s00180-010-0217-1},
}


@article{BALT:GRIF:83,
title = "Gasoline demand in the OECD: An application of pooling and
                  testing procedures",
journal = "European Economic Review",
volume = "22",
number = "2",
pages = "117 - 137",
year = "1983",
issn = "0014-2921",
OPTdoi = "https://doi.org/10.1016/0014-2921(83)90077-6",
url = "https://www.sciencedirect.com/science/article/pii/0014292183900776",
author = "Badi H. Baltagi and James M. Griffin",
abstract = "This study utilizes a pooled inter-country data set,
                  finding the long-run price-elasticity falls in the
                  range −0.55 to −0.9, depending on the choice of
                  pooled estimators. The estimators included the OLS,
                  within-, and between-country estimators, plus five
                  feasible GLS estimators. Even allowing for a
                  ten-year distributed lag on price to reflect changes
                  in auto-efficiency characteristics, the
                  within-country estimator yields appreciably more
                  inelastic estimates than did the O:S estimator,
                  which was heavily influenced by the between- or
                  inter-country variation. This difference raises
                  intriguing questions for future research."
}

@PhdThesis{GRUN:58,
title = {The determinants of corporate investment},
year =  {1958},
school = {Department of Economics, University of Chicago},
author = {Grunfeld, Yehuda}
}

@ARTICLE{KLEI:ZEIL:10,
title = {The Grunfeld Data at 50},
author = {Kleiber, Christian and Zeileis, Achim},
year = {2010},
journal = {German Economic Review},
volume = {11},
pages = {404-417},
abstract = {This paper revisits Grunfeld's well-known investment data,
                  one of the most widely used datasets in all of
                  applied econometrics, on the occasion of their 50th
                  anniversary. It presents, apparently for the first
                  time after the publication of the original Chicago
                  Ph.D. thesis, the full dataset, points out errors
                  and inconsistencies in several currently available
                  versions, and also revisits a number of empirical
                  studies from the literature of the last five
                  decades. Our findings provide a cautionary tale on
                  the use of widely known data and underline the need
                  for mandatory data and code archives. Copyright 2010
                  The Author. German Economic Review 2010 Verein für
                  Socialpolitik.},
url = {https://doi.org/10.1111/j.1468-0475.2010.00513.x}
}

@book{BESL:KUH:WELS:80,
title = {Regression diagnostics: identifying influential data and
                  sources of collinearity},
author= {Besley, David A. and Kuh, Edwin and Welsch, Roy E.},
year = {1980},
publisher={John Wiley and Sons ltd},
note = {Wiley series in probability and statistics}
}

@book{CAME:TRIV:05,
author = {Colin Cameron, Adrian and K. Trivedi, Pravin},
year = {2005},
title = {Microeconometrics: Methods and Applications},
publisher = {Cambridge University Press},
isbn = {0521848059},
doi = {10.1017/CBO9780511811241}
}

@article{ZILI:97,
 ISSN = {07350015},
 OPTURL = {https://www.jstor.org/stable/1392488},
 abstract = {I examine the empirical performance of instrumental
                  variables estimators with predetermined instruments
                  in an application to life-cycle labor supply under
                  uncertainty. The estimators studied are two-stage
                  least squares, generalized method-of-moments (GMM),
                  forward filter, independently weighted GMM, and
                  split-sample instrumental variables. I compare the
                  bias/efficiency trade-off for the estimators using
                  bootstrap algorithms suggested by Freedman and by
                  Brown and Newey. Results indicate that the downward
                  bias in GMM is quite severe as the number of moment
                  conditions expands, outweighing the gains in
                  efficiency. The forward-filter estimator, however,
                  has lower bias and is more efficient than two-stage
                  least squares.},
 author = {James P. Ziliak},
 journal = {Journal of Business & Economic Statistics},
 number = {4},
 pages = {419--431},
 publisher = {[American Statistical Association, Taylor & Francis,
                  Ltd.]},
 title = {Efficient Estimation with Panel Data When Instruments Are
                  Predetermined: An Empirical Comparison of
                  Moment-Condition Estimators},
 volume = {15},
 year = {1997}
}

@book{VERB:04,
author = {Verbeek, Marno},
year = {2004},
title = {A Guide to Modern Econometrics},
edition = {2nd},
publisher = {Wiley}
}

@article{FENG:HORR:12,
author = {Feng, Qu and Horrace, William C.},
title = {Alternative technical efficiency measures: Skew, bias and scale},
journal = {Journal of Applied Econometrics},
volume = {27},
number = {2},
pages = {253-268},
doi = {10.1002/jae.1190},
abstract = {SUMMARY In the fixed-effects stochastic frontier model an
                  efficiency measure relative to the best firm in the
                  sample is universally employed. This paper considers
                  a new measure relative to the worst firm in the
                  sample. We find that estimates of this measure have
                  smaller bias than those of the traditional measure
                  when the sample consists of many firms near the
                  efficient frontier. Moreover, a two-sided measure
                  relative to both the best and the worst firms is
                  proposed. Simulations suggest that the new measures
                  may be preferred depending on the skewness of the
                  inefficiency distribution and the scale of
                  efficiency differences. Copyright 2010 John Wiley \&
                  Sons, Ltd.},
year = {2012}
}

@book{HAYA:00,
author = {Hayashi, F.},
year = 2000,
publisher = {Princeton University Press},
title = Econometrics
}

@article{SUMM:HEST:91,
author = {Summers, Robert and Heston, Alan},
year = {1991},
month = {02},
pages = {327-68},
title = {The Penn World Table (Mark 5): An Expanded Set of International Comparisons, 1950–1988},
volume = {106},
journal = {The Quarterly Journal of Economics},
doi = {10.2307/2937941}
}

@ARTICLE{BALT:LEVI:92,
title = {Cigarette taxation: Raising revenues and reducing
                  consumption},
author = {Baltagi, Badi and Levin, Dan},
year = {1992},
journal = {Structural Change and Economic Dynamics},
volume = {3},
number = {2},
pages = {321-335},
url = {https://EconPapers.repec.org/RePEc:eee:streco:v:3:y:1992:i:2:p:321-335}
}

@article{BALT:GRIF:XION:00,
author = {Baltagi, Badi H. and Griffin, James M. and Xiong, Weiwen},
title = {To Pool or Not to Pool: Homogeneous Versus Heterogeneous
                  Estimators Applied to Cigarette Demand},
journal = {The Review of Economics and Statistics},
volume = {82},
number = {1},
pages = {117-126},
year = {2000},
doi = {10.1162/003465300558551},
URL = {https://doi.org/10.1162/003465300558551},
eprint = {https://doi.org/10.1162/003465300558551},
abstract = { This paper reexamines the benefits of pooling and, in
                  addition, contrasts the performance of newly
                  proposed heterogeneous estimators. The analysis
                  utilizes a panel data set from 46 American states
                  over the period 1963 to 1992 and a dynamic demand
                  specification for cigarettes. Also, the forecast
                  performance of the various estimators is compared.}
}

@article{IM:SEUN:SCHM:WOOL:99,
title = "Efficient estimation of panel data models with strictly
                  exogenous explanatory variables",
journal = "Journal of Econometrics",
volume = "93",
number = "1",
pages = "177 - 201",
year = "1999",
issn = "0304-4076",
OPTdoi = "https://doi.org/10.1016/S0304-4076(99)00008-1",
url = "https://www.sciencedirect.com/science/article/pii/S0304407699000081",
author = "Kyung So Im and Seung C. Ahn and Peter Schmidt and Jeffrey
                  M. Wooldridge",
keywords = "Panel data, Strict exogeneity, Efficiency, Redundancy",
abstract = "With panel data, exogeneity assumptions imply many more
                  moment conditions than standard estimators
                  use. However, many of the moment conditions may be
                  redundant, in the sense that they do not increase
                  efficiency; if so, we may establish the standard
                  estimators’ efficiency. We prove efficiency results
                  for GLS in a model with unrestricted error
                  covariance matrix, and for 3SLS in models where
                  regressors and errors are correlated, such as the
                  Hausman–Taylor model. For models with correlation
                  between regressors and errors, and with unrestricted
                  error covariance structure, we provide a simple
                  estimator based on a GLS generalization of
                  deviations from means."
}

@unpublished{AREL:BOND:98,
	author={Arellano, M. and Bond, S.},
	title={Dynamic panel data estimation using DPD98 for GAUSS: a guide for users},
	year={1998},
	note = {unpublished}
}

@unpublished{DOOR:AREL:BOND:12,
	author={Arellano, M. and Bond, S.},
	title={Panel data estimation using DPD for Ox},
	year={2012},
	url = {https://www.doornik.com/download/oxmetrics7/Ox_Packages/dpd.pdf},
	note = {unpublished}
}

@article{BALT:FENG:KAO:12,
title = "A Lagrange Multiplier test for cross-sectional dependence in
                  a fixed effects panel data model",
journal = "Journal of Econometrics",
volume = "170",
number = "1",
pages = "164 - 177",
year = "2012",
issn = "0304-4076",
OPTdoi = "https://doi.org/10.1016/j.jeconom.2012.04.004",
url = "https://www.sciencedirect.com/science/article/pii/S030440761200098X",
author = "Badi H. Baltagi and Qu Feng and Chihwa Kao",
keywords = " test, Cross-sectional dependence, Fixed effects, High dimensional inference, John test, Panel data",
abstract = "It is well known that the standard Breusch and Pagan
                  (1980) LM test for cross-equation correlation in a
                  SUR model is not appropriate for testing
                  cross-sectional dependence in panel data models when
                  the number of cross-sectional units (n) is large and
                  the number of time periods (T) is small. In fact, a
                  scaled version of this LM test was proposed by
                  Pesaran (2004) and its finite sample bias was
                  corrected by Pesaran et al. (2008). This was done in
                  the context of a heterogeneous panel data
                  model. This paper derives the asymptotic bias of
                  this scaled version of the LM test in the context of
                  a fixed effects homogeneous panel data model. This
                  asymptotic bias is found to be a constant related to
                  n and T, which suggests a simple bias corrected LM
                  test for the null hypothesis. Additionally, the
                  paper carries out some Monte Carlo experiments to
                  compare the finite sample properties of this
                  proposed test with existing tests for
                  cross-sectional dependence."
}

@article{PESA:15,
author = { M.  Hashem Pesaran},
title = {Testing Weak Cross-Sectional Dependence in Large Panels},
journal = {Econometric Reviews},
volume = {34},
number = {6-10},
pages = {1089-1117},
year  = {2015},
publisher = {Taylor & Francis},
doi = {10.1080/07474938.2014.956623},
URL = {https://doi.org/10.1080/07474938.2014.956623},
eprint = {https://doi.org/10.1080/07474938.2014.956623}
}

@article{KANG:85,
title = "A note on the equivalence of specification tests in the
                  two-factor multivariate variance components model",
journal = "Journal of Econometrics",
volume = "28",
number = "2",
pages = "193 - 203",
year = "1985",
issn = "0304-4076",
OPTdoi = "https://doi.org/10.1016/0304-4076(85)90119-8",
url = "https://www.sciencedirect.com/science/article/pii/0304407685901198",
author = "Suk Kang",
abstract = "This note offers a generalization of Hausman and Taylor's
                  equivalence of specification tests in the
                  single-equation variance (error) components model to
                  the two-factor multivariate variance components
                  case. The relationship between the specification
                  tests and the hypothesis test in the model proposed
                  by Mundlak is also discussed."
}

@article{BALT:CHAN:LI:98,
author = {Baltagi, Badi and Chang, YA and Li, Q},
year = {1998},
month = {01},
pages = {1-20},
journal = "Advances in econometrics",
title = {Testing for random individual and time effects using unbalanced panel data},
volume = {13}
}

@book{ANDR:GOLS:SCMI:13,
author = {Andre\ss, Hans-Jürgen and Golsch, Katrin and Schmidt-Catran, Alexander},
year = {2013},
month = {01},
publisher = {Springer},
title = {Applied Panel Data Analysis for Economic and Social Surveys},
doi = {10.1007/978-3-642-32914-2}
}

@Article{CAME:MILL:15,
  author={A. Colin Cameron and Douglas L. Miller},
  title={A Practitioner's Guide to Cluster-Robust Inference},
  journal={Journal of Human Resources},
  year=2015,
  volume={50},
  number={2},
  pages={317-372},
  month={},
  keywords={},
  doi={},
  abstract={We consider statistical inference for regression when data
                  are grouped into clusters, with regression model
                  errors independent across clusters but correlated
                  within clusters. Examples include data on
                  individuals with clustering on village or region or
                  other category such as industry, and state-year
                  differences-in-differences studies with clustering
                  on state. In such settings, default standard errors
                  can greatly overstate estimator precision. Instead,
                  if the number of clusters is large, statistical
                  inference after OLS should be based on
                  cluster-robust standard errors. We outline the basic
                  method as well as many complications that can arise
                  in practice. These include cluster-specific fixed
                  effects, few clusters, multiway clustering, and
                  estimators other than OLS.},
  url={https://ideas.repec.org/a/uwp/jhriss/v50y2015i2p317-372.html}
}

@article{GRAN:69,
 ISSN = {00129682, 14680262},
 OPTURL = {https://www.jstor.org/stable/1912791},
 abstract = {There occurs on some occasions a difficulty in deciding
                  the direction of causality between two related
                  variables and also whether or not feedback is
                  occurring. Testable definitions of causality and
                  feedback are proposed and illustrated by use of
                  simple two-variable models. The important problem of
                  apparent instantaneous causality is discussed and it
                  is suggested that the problem often arises due to
                  slowness in recording information or because a
                  sufficiently wide class of possible causal variables
                  has not been used. It can be shown that the cross
                  spectrum between two variables can be decomposed
                  into two parts, each relating to a single causal arm
                  of a feedback situation. Measures of causal lag and
                  causal strength can then be constructed. A
                  generalisation of this result with the partial cross
                  spectrum is suggested.},
 author = {C. W. J. Granger},
 journal = {Econometrica},
 number = {3},
 pages = {424--438},
 publisher = {[Wiley, Econometric Society]},
 title = {Investigating Causal Relations by Econometric Models and
                  Cross-spectral Methods},
 volume = {37},
 year = {1969}
}

@Article{LOPE:WEBE:17,
  author={Luciano Lopez and Sylvain Weber},
  title={{Testing for Granger causality in panel data}},
  journal={Stata Journal},
  year=2017,
  volume={17},
  number={4},
  pages={972-984},
  month={December},
  keywords={xtgcause; Granger causality; panel datasets; bootstrap},
  doi={},
  abstract={With the development of large and long panel databases,
                  the theory surrounding panel causality evolves
                  quickly, and empirical researchers might find it
                  difficult to run the most recent techniques
                  developed in the literature. In this article, we
                  present the community-contributed command xtgcause,
                  which imple- ments a procedure proposed by
                  Dumitrescu and Hurlin (2012, Economic Modelling 29:
                  1450–1460) for detecting Granger causality in panel
                  datasets. Thus, it con- stitutes an effort to help
                  practitioners understand and apply the
                  test. xtgcause offers the possibility of selecting
                  the number of lags to include in the model by
                  minimizing the Akaike information criterion,
                  Bayesian information criterion, or Hannan–Quinn
                  information criterion, and it offers the possibility
                  to implement a bootstrap procedure to compute
                  p-values and critical values.},
  url={https://www.stata-journal.com/article.html?article=st0507}
}

@article{DUMI:HURL:12,
title = "Testing for Granger non-causality in heterogeneous panels",
journal = "Economic Modelling",
volume = "29",
number = "4",
pages = "1450 - 1460",
year = "2012",
issn = "0264-9993",
OPTdoi = "https://doi.org/10.1016/j.econmod.2012.02.014",
url = "https://www.sciencedirect.com/science/article/pii/S0264999312000491",
author = "Elena-Ivona Dumitrescu and Christophe Hurlin",
keywords = "Granger non-causality, Panel data, Wald test",
abstract = "This paper proposes a very simple test of Granger (1969)
                  non-causality for heterogeneous panel data
                  models. Our test statistic is based on the
                  individual Wald statistics of Granger non causality
                  averaged across the cross-section units. First, this
                  statistic is shown to converge sequentially to a
                  standard normal distribution. Second, the
                  semi-asymptotic distribution of the average
                  statistic is characterized for a fixed T sample. A
                  standardized statistic based on an approximation of
                  the moments of Wald statistics is hence
                  proposed. Third, Monte Carlo experiments show that
                  our standardized panel statistics have very good
                  small sample properties, even in the presence of
                  cross-sectional dependence."
}

@article{SOSA:BERA:08,
author = {Walter Sosa-Escudero and Anil K. Bera},
title ={Tests for Unbalanced Error-Components Models under Local
                  Misspecification},
journal = {The Stata Journal},
volume = {8},
number = {1},
pages = {68-78},
year = {2008},
doi = {10.1177/1536867X0800800105},
URL = {https://doi.org/10.1177/1536867X0800800105},
eprint = {https://doi.org/10.1177/1536867X0800800105},
    abstract = { This paper derives unbalanced versions of the test
                  statistics for first-order serial correlation and
                  random individual effects summarized in
                  Sosa-Escudero and Bera (2001, Stata Technical
                  Bulletin Reprints, vol. 10, pp. 307–311), and
                  updates their xttest1 routine. The derived test
                  statistics should be useful for applied researchers
                  faced with the increasing availability of panel
                  information where not every individual or country is
                  observed for the full time span. The test statistics
                  proposed here are based on ordinary least-squares
                  residuals and hence are computationally very
                  simple.}
}

@article{DURB:WATS:50,
 ISSN = {00063444},
 OPTURL = {https://www.jstor.org/stable/2332391},
 author = {J. Durbin and G. S. Watson},
 journal = {Biometrika},
 number = {3/4},
 pages = {409--428},
 publisher = {[Oxford University Press, Biometrika Trust]},
 title = {Testing for Serial Correlation in Least Squares Regression: I},
 volume = {37},
 year = {1950}
}

@article{DURB:WATS:71,
 ISSN = {00063444},
 OPTURL = {https://www.jstor.org/stable/2334313},
 abstract = {The paper considers a number of problems arising from the
                  test of serial correlation based on the d statistic
                  proposed earlier by the authors (Durbin & Watson,
                  1950, 1951). Methods of computing the exact
                  distribution of d are investigated and the exact
                  distribution is compared with six approximations to
                  it for four sets of published data. It is found that
                  approximations suggested by Theil and Nagar and by
                  Hannan are too inaccurate for practical use but that
                  the beta approximation proposed in the 1950 and 1951
                  papers and a new approximation, called by us the a +
                  bd<sub>U</sub> approximation and based, like the
                  beta approximation, on the exact first two moments
                  of d, both perform well. The power of the d test is
                  compared with that of certain exact tests proposed
                  by Theil, Durbin, Koerts and Abrahamse from the
                  standpoint of invariance theory. It is shown that
                  the d test is locally most powerful invariant but
                  that the other tests are not. There are three
                  appendices. The first gives an account of the exact
                  distribution of d. The second derives the mean and
                  variance to a second order of approximation of a
                  modified maximum likelihood statistic closely
                  related to d. The third sets out details of the
                  computations required for the a + bd<sub>U</sub>
                  approximation.},
 author = {J. Durbin and G. S. Watson},
 journal = {Biometrika},
 number = {1},
 pages = {1--19},
 publisher = {[Oxford University Press, Biometrika Trust]},
 title = {Testing for Serial Correlation in Least Squares Regression. III},
 volume = {58},
 year = {1971}
}

@article{DURB:WATS:51,
    author = {Durbin, J. and Watson, G. S.},
    title = "{Testing for serial correlation in least squares regression. II}",
    journal = {Biometrika},
    volume = {38},
    number = {1-2},
    pages = {159-178},
    year = {1951},
    month = {06},
    issn = {0006-3444},
    doi = {10.1093/biomet/38.1-2.159},
    url = {https://doi.org/10.1093/biomet/38.1-2.159}
}

@article{BALT:WU:99,
 ISSN = {02664666, 14694360},
 OPTURL = {https://www.jstor.org/stable/3533276},
 abstract = {This paper deals with the estimation of unequally spaced
                  panel data regression models with AR(1) remainder
                  disturbances. A feasible generalized least squares
                  (GLS) procedure is proposed as a weighted least
                  squares that can handle a wide range of unequally
                  spaced panel data patterns. This procedure is simple
                  to compute and provides natural estimates of the
                  serial correlation and variance components
                  parameters. The paper also provides a locally best
                  invariant test for zero first-order serial
                  correlation against positive or negative serial
                  correlation in case of unequally spaced panel data.},
 author = {Badi H. Baltagi and Ping X. Wu},
 journal = {Econometric Theory},
 number = {6},
 pages = {814--823},
 publisher = {Cambridge University Press},
 title = {Unequally Spaced Panel Data Regressions with AR(1) Disturbances},
 volume = {15},
 year = {1999}
}

@article{BHAR:FRAN:NARE:82,
 ISSN = {00346527, 1467937X},
 OPTURL = {https://www.jstor.org/stable/2297285},
 abstract = {This paper generalizes the Durbin-Watson type statistics
                  to test the OLS residuals from the fixed effects
                  model for serial independence. Also generalized are
                  the tests proposed by Sargan and Bhargava for the
                  hypothesis that the residuals form a random walk. A
                  method for efficient estimation of the parameters is
                  also developed. Finally, an earnings function is
                  estimated using the Michigan Survey of Income
                  Dynamics in order to illustrate the uses of the
                  tests and the estimation procedures developed in
                  this paper.},
 author = {A. Bhargava and L. Franzini and W. Narendranathan},
 journal = {The Review of Economic Studies},
 number = {4},
 pages = {533--549},
 publisher = {[Oxford University Press, Review of Economic Studies, Ltd.]},
 title = {Serial Correlation and the Fixed Effects Model},
 volume = {49},
 year = {1982}
}

@article{MACK:94,
 ISSN = {07350015},
 OPTURL = {https://www.jstor.org/stable/1391481},
 abstract = {This article uses Monte Carlo experiments and response
                  surface regressions in a novel way to calculate
                  approximate asymptotic distribution functions for
                  several well-known unit-root and cointegration test
                  statistics. These allow empirical workers to
                  calculate approximate P values for these tests. The
                  results of the article are based on an extensive set
                  of Monte Carlo experiments, which yield
                  finite-sample quantiles for several sample
                  sizes. Based on these, response surface regressions
                  are used to obtain asymptotic quantiles for many
                  different test sizes. Then approximate distribution
                  functions with simple functional forms are estimated
                  from these asymptotic quantiles.},
 author = {James G. MacKinnon},
 journal = {Journal of Business & Economic Statistics},
 number = {2},
 pages = {167--176},
 publisher = {[American Statistical Association, Taylor & Francis, Ltd.]},
 title = {Approximate Asymptotic Distribution Functions for Unit-Root and Cointegration Tests},
 volume = {12},
 year = {1994}
}

@article{MACK:96,
 ISSN = {08837252},
 OPTURL = {https://www.jstor.org/stable/2285154},
 author = {James G. MacKinnon},
 journal = {Journal of Applied Econometrics},
 number = {6},
 pages = {601--618},
 title = {Numerical Distribution Functions for Unit Root and Cointegration Tests},
 volume = {11},
 year = {1996}
}

@article{KWIA:PHIL:SCHM:SHIN:92,
title = "Testing the null hypothesis of stationarity against the
                  alternative of a unit root: How sure are we that
                  economic time series have a unit root?",
journal = "Journal of Econometrics",
volume = "54",
number = "1",
pages = "159 - 178",
year = "1992",
issn = "0304-4076",
OPTdoi = "https://doi.org/10.1016/0304-4076(92)90104-Y",
url = "https://www.sciencedirect.com/science/article/pii/030440769290104Y",
author = "Denis Kwiatkowski and Peter C.B. Phillips and Peter Schmidt and Yongcheol Shin",
abstract = "We propose a test of the null hypothesis that an
                  observable series is stationary around a
                  deterministic trend. The series is expressed as the
                  sum of deterministic trend, random walk, and
                  stationary error, and the test is the LM test of the
                  hypothesis that the random walk has zero
                  variance. The asymptotic distribution of the
                  statistic is derived under the null and under the
                  alternative that the series is
                  difference-stationary. Finite sample size and power
                  are considered in a Monte Carlo experiment. The test
                  is applied to the Nelson-Plosser data, and for many
                  of these series the hypothesis of trend stationarity
                  cannot be rejected."
}


@article{AHRE:PINC:81,
author = {Ahrens, H. and Pincus, R.},
title = {On Two Measures of Unbalancedness in a One-Way Model and
         Their Relation to Efficiency},
journal = {Biometrical Journal},
volume = {23},
number = {3},
pages = {227-235},
doi = {10.1002/bimj.4710230302},
abstract = {Abstract This paper discusses two measures of
                  unbalancedness in a one-way model and shows that for
                  a given statistical procedure they may serve as
                  measures of efficiency of a design. They also allow
                  to compare for example estimation methods for
                  variance components in designs with a fixed level of
                  unbalancedness.},
year = {1981}
}

@article{BALT:SONG:JUNG:02,
 ISSN = {13684221, 1368423X},
 OPTURL = {https://www.jstor.org/stable/23114905},
 abstract = {This paper considers the unbalanced two-way error
                  component model studied by Wansbeek and Kapteyn
                  (1989). Alternative analysis of variance (ANOVA),
                  minimum norm quadratic unbiased and restricted
                  maximum likelihood (REML) estimation procedures are
                  proposed. The mean squared error performance of
                  these estimators are compared using Monte Carlo
                  experiments. Results show that for the estimates of
                  the variance components, the computationally more
                  demanding maximum likelihood (ML) and minimum
                  variance quadratic unbiased (MIVQUE) estimators are
                  recommended, especially if the unbalanced pattern is
                  severe. However, focusing on the regression
                  coefficient estimates, the simple ANOVA methods
                  perform just as well as the computationally
                  demanding ML and MIVQUE methods and are
                  recommended.},
 author = {Badi H. Baltagi and Seuck H. Song and Byoung C. Jung},
 journal = {The Econometrics Journal},
 number = {2},
 pages = {480--493},
 publisher = {[Royal Economic Society, Wiley]},
 title = {A comparative study of alternative estimators for the
                  unbalanced two-way error component regression model},
 volume = {5},
 year = {2002}
}

@misc{GOUL:13,
author = "Gould, W.",
year = 2013,
url = {https://www.stata.com/support/faqs/statistics/intercept-in-fixed-effects-model/},
title = {How can there be an intercept in the fixed-effects model
                  estimated by xtreg, fe?}
}

@Article{HOEC:07,
  author={Daniel Hoechle},
  title={{Robust standard errors for panel regressions with cross-sectional dependence}},
  journal={Stata Journal},
  year=2007,
  volume={7},
  number={3},
  pages={281-312},
  month={September},
  keywords={xtscc; robust standard errors; nonparametric covariance estimation},
  doi={},
  abstract={I present a new Stata program, xtscc, that estimates
                  pooled ordinary least-squares/weighted least-squares
                  regression and fixed-effects (within) regression
                  models with Driscoll and Kraay (Review of Economics
                  and Statistics 80: 549–560) standard errors. By
                  running Monte Carlo simulations, I compare the
                  finite-sample properties of the cross-sectional
                  dependence-consistent Driscoll-Kraay estimator with
                  the properties of other, more commonly used
                  covariance matrix estimators that do not account for
                  cross-sectional dependence. The results indicate
                  that Driscol-Kraay standard errors are well
                  calibrated when cross-sectional dependence is
                  present. However, erroneously ignoring
                  cross-sectional correlation in the estimation of
                  panel models can lead to severely biased statistical
                  results. I illustrate the xtscc program by
                  considering an application from empirical
                  finance. Thereby, I also propose a Hausman-type test
                  for fixed effects that is robust to general forms of
                  cross-sectional and temporal dependence. Copyright
                  2007 by StataCorp LP.},
  url={https://ideas.repec.org/a/tsj/stataj/v7y2007i3p281-312.html}
}



@manual{THER:14,
	author={Terry Therneau},
	title={\pkg{bdsmatrix}: Routines for Block Diagonal Symmetric matrices},
	year={2014},
	note={\proglang{R} package version 1.3-2},
	url={https://CRAN.R-project.org/package=bdsmatrix}
}

@Article{COTT:2017,
  author  = {Cottrell, A.},
  title   = {Random effects estimators for unbalanced panel data: a
                  Monte Carlo analysis},
  journal = {gretl working papers},
  year    = {2017},
  number  = {4},
  url     = {https://EconPapers.repec.org/RePEc:anc:wgretl:4}
}

@article{CHOI:01,
title = "Unit root tests for panel data",
journal = "Journal of International Money and Finance",
volume = "20",
number = "2",
pages = "249 - 272",
year = "2001",
issn = "0261-5606",
OPTdoi = "https://doi.org/10.1016/S0261-5606(00)00048-6",
url = "https://www.sciencedirect.com/science/article/pii/S0261560600000486",
author = "In Choi",
keywords = "Unit root test, Panel data, Meta-analysis, Purchasing power parity",
abstract = "This paper develops unit root tests for panel data. These
                  tests are devised under more general assumptions
                  than the tests previously proposed. First, the
                  number of groups in the panel data is assumed to be
                  either finite or infinite. Second, each group is
                  assumed to have different types of nonstochastic and
                  stochastic components. Third, the time series spans
                  for the groups are assumed to be all
                  different. Fourth, the alternative where some groups
                  have a unit root and others do not can be dealt with
                  by the tests. The tests can also be used for the
                  null of stationarity and for cointegration, once
                  relevant changes are made in the model, hypotheses,
                  assumptions and underlying tests. The main idea for
                  our unit root tests is to combine p-values from a
                  unit root test applied to each group in the panel
                  data. Combining p-values to formulate tests is a
                  common practice in meta-analysis. This paper also
                  reports the finite sample performance of our
                  combination unit root tests and Im et al.'s [Mimeo
                  (1995)] t-bar test. The results show that most of
                  the combination tests are more powerful than the
                  t-bar test in finite samples. Application of the
                  combination unit root tests to the post-Bretton
                  Woods US real exchange rate data provides some
                  evidence in favor of the PPP hypothesis."
}

@article{HADR:00,
 ISSN = {13684221, 1368423X},
 OPTURL = {https://www.jstor.org/stable/23114886},
 abstract = {This paper proposes a residual-based Lagrange multiplier
                  (LM) test for a null that the individual observed
                  series are stationary around a deterministic level
                  or around a deterministic trend against the
                  alternative of a unit root in panel data. The tests
                  which are asymptotically similar under the null,
                  belong to the locally best invariant (LBI) test
                  statistics. The asymptotic distributions of the
                  statistics are derived under the null and are shown
                  to be normally distributed. Finite sample sizes and
                  powers are considered in a Monte Carlo
                  experiment. The empirical sizes of the tests are
                  close to the true size even in small samples. The
                  testing procedure is easy to apply, including, to
                  panel data models with fixed effects, individual
                  deterministic trends and heterogeneous errors across
                  cross-sections. It is also shown how to apply the
                  tests to the more general case of serially
                  correlated disturbance terms.},
 author = {Kaddour Hadri},
 journal = {The Econometrics Journal},
 number = {2},
 pages = {148--161},
 publisher = {[Royal Economic Society, Wiley]},
 title = {Testing for stationarity in heterogeneous panel data},
 volume = {3},
 year = {2000}
}


@book{CROI:MILL:18,
   title = {Panel Data Econometrics with R},
   author={Croissant, Yves and Millo, Giovanni},
   publisher={John Wiley and Sons ltd},
   year={2018},
   edition={1st}
}

@Article{HANCK:13,
  author    = {Christoph Hanck},
  title     = {An Intersection Test for Panel Unit Roots},
  journal   = {Econometric Reviews},
  year      = {2013},
  OPTkey    = {},
  volume    = {32},
  OPTnumber = {2},
  pages     = {183-203},
  OPTmonth  = {},
  OPTnote   = {},
  OPTannote = {}
}

@Article{SIMES:86,
  author    = {R. J. Simes},
  title     = {An improved Bonferroni procedure for multiple tests of significance},
  journal   = {Biometrika},
  year      = {1986},
  OPTkey    = {},
  volume    = {73},
  OPTnumber = {3},
  pages     = {751-754},
  OPTmonth  = {},
  OPTnote   = {},
  OPTannote = {}
}

@Article{HOMM:88,
  author    = {G. Hommel},
  title     = {A stage wise rejective multiple test procedure based on a modified
  Bonferroni test},
  journal   = {Biometrika},
  year      = {1988},
  OPTkey    = {},
  volume    = {75},
  OPTnumber = {2},
  pages     = {383-386},
  OPTmonth  = {},
  OPTnote   = {},
  OPTannote = {}
}

@article{POI:03,
  title={From the help desk: Swamy’s random-coefficients model},
  author={Poi, Brian P.},
  journal={Stata Journal},
  volume={3},
  number={3},
  pages={302--308},
  year={2003},
  publisher={StataCorp LP}
}