Inference on Time-Invariant Variables using Panel Data: A Pre-Test Estimator with an Application to the Returns to Schooling
AbstractThis paper proposes a new pre-test estimator of panel data models including time invariant variables based upon the Mundlak-Krishnakumar estimator and an "unrestricted” Hausman-Taylor estimator. The paper evaluates the biases of currently used restricted estimators, omitting the average-over-time of at least one endogenous time-varying explanatory variable. Repeated Between, Ordinary Least Squares, Two stage restricted Between and Oaxaca-Geisler estimator, Fixed Effect Vector Decomposition, Generalized least squares may lead to wrong conclusions regarding the statistical significance of the estimated parameter values of time-invariant variables.
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Date of creation: 15 Jan 2010
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Time-Invariant Variables; Panel data; Time-Series Cross-Sections; Pre-Test Estimator; Mundlak Estimator; Fixed Effects Vector Decomposition;
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- J. A. Hausman & W. E. Taylor, 1980.
"Panel Data and Unobservable Individual Effects,"
255, Massachusetts Institute of Technology (MIT), Department of Economics.
- Hausman, Jerry A. & Taylor, William E., 1981. "Panel data and unobservable individual effects," Journal of Econometrics, Elsevier, vol. 16(1), pages 155-155, May.
- Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-98, November.
- Hsiao,Cheng, 2003.
"Analysis of Panel Data,"
Cambridge University Press, number 9780521522717, April.
- Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
- Kelejian, Harry H & Stephan, Scott W, 1983. "Inference in Random Coefficient Panel Data Models: A Correction and Clarification of the Literature," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(1), pages 249-54, February.
- Beck, Nathaniel & Katz, Jonathan N., 2001. "Throwing Out the Baby with the Bath Water: A Comment on Green, Kim, and Yoon," International Organization, Cambridge University Press, vol. 55(02), pages 487-495, March.
- Swamy, P A V B & Arora, S S, 1972. "The Exact Finite Sample Properties of the Estimators of Coefficients in the Error Components Regression Models," Econometrica, Econometric Society, vol. 40(2), pages 261-75, March.
- Michael C. Lovell, 1963. "Seasonal Adjustment of Economic Time Series and Multiple Regression," Cowles Foundation Discussion Papers 151, Cowles Foundation for Research in Economics, Yale University.
- Jaya Krishnakumar, 2003. "Time Invariant Variables and Panel Data Models : A Generalised Frisch-Vaugh Theorem and its Implications," Research Papers by the Institute of Economics and Econometrics, Geneva School of Economics and Management, University of Geneva 2004.01, Institut d'Economie et Econométrie, Université de Genève.
- Baltagi, Badi H & Khanti-Akom, Sophon, 1990. "On Efficient Estimation with Panel Data: An Empirical Comparison of Instrumental Variables Estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(4), pages 401-06, Oct.-Dec..
- Boumahdi, Rachid & Thomas, Alban, 2006. "Instrument relevance and efficient estimation with panel data," Economics Letters, Elsevier, vol. 93(2), pages 305-310, November.
- Breusch, Trevor & Ward, Michael B & Nguyen, Hoa & Kompas, Tom, 2010. "On the fixed-effects vector decomposition," MPRA Paper 21452, University Library of Munich, Germany.
- Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2003. "Fixed effects, random effects or Hausman-Taylor?: A pretest estimator," Economics Letters, Elsevier, vol. 79(3), pages 361-369, June.
- Timo Mitze, 2009. "Endogeneity in Panel Data Models with Time-Varying and Time-Fixed Regressors: To IV or not IV?," Ruhr Economic Papers 0083, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
- Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, April.
- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
- Oaxaca, Ronald L. & Geisler, Iris, 2003. "Fixed effects models with time invariant variables: a theoretical note," Economics Letters, Elsevier, vol. 80(3), pages 373-377, September.
- Farla, Kristine, 2012. "Institutions and credit," MERIT Working Papers 038, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Jean-Bernard Chatelain & Kirsten Ralf, 2012. "Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth," UniversitÃ© Paris1 PanthÃ©on-Sorbonne (Post-Print and Working Papers) halshs-00802579, HAL.
- Chatelain, Jean-Bernard & Ralf, Kirsten, 2014.
"Spurious regressions and near-multicollinearity, with an application to aid, policies and growth,"
EconStor Open Access Articles,
ZBW - German National Library of Economics, pages 85-96.
- Chatelain, Jean-Bernard & Ralf, Kirsten, 2014. "Spurious regressions and near-multicollinearity, with an application to aid, policies and growth," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 85-96.
- Chatelain, Jean-Bernard & Ralf, Kirsten, 2012. "Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth," MPRA Paper 42533, University Library of Munich, Germany.
- Jean-Bernard Chatelain & Kirsten Ralf, 2012. "Spurious Regressions and Near-Multicollinearity, with an Application to Aid, Policies and Growth," Documents de travail du Centre d'Economie de la Sorbonne 12078, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
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