One-Step Robust Estimation of Fixed-Effects Panel Data Models
AbstractThe panel-data regression models are frequently applied to micro-level data, which often suffer from data contamination, erroneous observations, or unobserved heterogeneity. Despite the adverse effects of outliers on classical estimation methods, there are only a few robust estimation methods available for fixed-effect panel data. Aiming at estimation under weak moment conditions, a new estimation approach based on two different data transformation is proposed. Considering several robust estimation methods applied on the transformed data, we derive the finite-sample, robust, and asymptotic properties of the proposed estimators including their breakdown points and asymptotic distribution. The finite-sample performance of the existing and proposed methods is compared by means of Monte Carlo simulations.
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Bibliographic InfoPaper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2010-110.
Date of creation: 2010
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Web page: http://center.uvt.nl
breakdown point; fixed effects; panel data; robust estimation;
Other versions of this item:
- Aquaro, M. & Čížek, P., 2013. "One-step robust estimation of fixed-effects panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 536-548.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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- Marc G. Genton & André Lucas, 2000.
"Comprehensive Definitions of Breakdown-Points for Independent and Dependent Observations,"
Tinbergen Institute Discussion Papers
00-040/2, Tinbergen Institute.
- Marc G. Genton & André Lucas, 2003. "Comprehensive definitions of breakdown points for independent and dependent observations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 81-94.
- Maria Caterina Bramati & Christophe Croux, 2007. "Robust estimators for the fixed effects panel data model," Econometrics Journal, Royal Economic Society, vol. 10(3), pages 521-540, November.
- Ronchetti, Elvezio & Trojani, Fabio, 2001. "Robust inference with GMM estimators," Journal of Econometrics, Elsevier, vol. 101(1), pages 37-69, March.
- Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006.
"Unobserved heterogeneity in panel time series models,"
Computational Statistics & Data Analysis,
Elsevier, vol. 50(9), pages 2361-2380, May.
- Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2004. "Unobserved Heterogeneity in Panel Time Series Models," Birkbeck Working Papers in Economics and Finance 0403, Birkbeck, Department of Economics, Mathematics & Statistics.
- Cízek, Pavel, 2011. "Semiparametrically weighted robust estimation of regression models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 774-788, January.
- Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
- Cornwell, Christopher & Rupert, Peter, 1988. "Efficient Estimation with Panel Data: An Empirical Comparison of Instrumental Variables Estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(2), pages 149-55, April.
- Cizek, P., 2007.
"Robust and Efficient Adaptive Estimation of Binary-Choice Regression Models,"
2007-12, Tilburg University, Center for Economic Research.
- Cizek, Pavel, 2008. "Robust and Efficient Adaptive Estimation of Binary-Choice Regression Models," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 687-696, June.
- Wagenvoort, Rien & Waldmann, Robert, 2002. "On B-robust instrumental variable estimation of the linear model with panel data," Journal of Econometrics, Elsevier, vol. 106(2), pages 297-324, February.
- Vincenzo Verardi & Joachim Wagner, 2011.
"Robust Estimation of Linear Fixed Effects Panel Data Models with an Application to the Exporter Productivity Premium,"
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik),
Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 231(4), pages 546-557, August.
- Vincenzo Verardi & Joachim Wagner, 2010. "Robust Estimation of Linear Fixed Effects Panel Data Models with an Application to the Exporter Productivity Premium," Working Paper Series in Economics 168, University of Lüneburg, Institute of Economics.
- Verardi, Vincenzo & Wagner, Joachim, 2010. "Robust Estimation of Linear Fixed Effects Panel Data Models with an Application to the Exporter Productivity Premium," IZA Discussion Papers 4928, Institute for the Study of Labor (IZA).
- Michele Aquaro & Pavel Čížek, 2014. "Robust estimation of dynamic fixed-effects panel data models," Statistical Papers, Springer, vol. 55(1), pages 169-186, February.
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