On the impact of error cross-sectional dependence in short dynamic panel estimation
AbstractThis paper explores the impact of error cross-sectional dependence (modelled as a factor structure) on a number of widely used IV and generalized method of moments (GMM) estimators in the context of a linear dynamic panel data model. It is shown that, under such circumstances, the standard moment conditions used by these estimators are invalid -- a result that holds for any lag length of the instruments used. Transforming the data in terms of deviations from time-specific averages helps to reduce the asymptotic bias of the estimators, unless the factor loadings have mean zero. The finite sample behaviour of IV and GMM estimators is investigated by means of Monte Carlo experiments. The results suggest that the bias of these estimators can be severe to the extent that the standard fixed effects estimator is not generally inferior anymore in terms of root median square error. Time-specific demeaning alleviates the problem, although the effectiveness of this transformation decreases when the variance of the factor loadings is large. Copyright The Author(s). Journal compilation Royal Economic Society 2008
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Bibliographic InfoArticle provided by Royal Economic Society in its journal Econometrics Journal.
Volume (Year): 12 (2009)
Issue (Month): 1 (03)
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Economic and Financial Reports
2010/1, European Investment Bank, Economics Department.
- Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
- Markus Eberhardt & Christian Helmers & Hubert Strauss, . "Do Spillovers Matter When Estimating Private Returns to R&D?," Discussion Papers 11/22, University of Nottingham, GEP.
- Tsangyao Chang & Wen-Yi Chen & Rangan Gupta & Duc Khuong Nguyen, 2013.
"Are Stock Prices Related to Political Uncertainty Index in OECD Countries? Evidence from Bootstrap Panel Causality Test,"
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- Tsangyao Chang & Wen-Yi Chen & Rangan Gupta & Duc Khuong Nguyen, 2013. "Are Stock Prices Related to Political Uncertainty Index in OECD Countries? Evidence from Bootstrap Panel Causality Test," Working Papers 36, Department of Research, Ipag Business School.
- Caglayan, Mustafa & Maioli, Sara & Mateut, Simona, 2012. "Inventories, sales uncertainty, and financial strength," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2512-2521.
- Donald Robertson & Vasilis Sarafidis, 2013.
"IV Estimation of Panels with Factor Residuals,"
Cambridge Working Papers in Economics
1321, Faculty of Economics, University of Cambridge.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo Group Munich.
- Sarafidis, Vasilis & Wansbeek, Tom, 2010.
"Cross-sectional Dependence in Panel Data Analysis,"
20367, University Library of Munich, Germany.
- Hendricks, Nathan P. & Smith, Aaron D., 2012. "Comparing the Bias of Dynamic Panel Estimators in Multilevel Panels: Individual versus Grouped Data," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124548, Agricultural and Applied Economics Association.
- T. De Groote & G. Everaert, 2011. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/723, Ghent University, Faculty of Economics and Business Administration.
- Sarafidis, Vasilis, 2009. "GMM Estimation of Short Dynamic Panel Data Models With Error Cross-Sectional Dependence," MPRA Paper 25176, University Library of Munich, Germany.
- Alessio Ciarlone, 2012. "Wealth effects in emerging economies," Temi di discussione (Economic working papers) 843, Bank of Italy, Economic Research and International Relations Area.
- Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
- Mitze, Timo & Reinkowski, Janina, 2010. "Testing the Validity of the Neoclassical Migration Model: Overall and Age-Group Specific Estimation Results for German Spatial Planning Regions," MPRA Paper 23616, University Library of Munich, Germany.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization and Monetary Policy Institute Working Paper 153, Federal Reserve Bank of Dallas.
- Inmaculada Martínez-Zarzoso, 2009. "A General Framework for Estimating CO2 Emissions," Ibero America Institute for Econ. Research (IAI) Discussion Papers 180, Ibero-America Institute for Economic Research.
- Bin Peng & Giovanni Forchini, 2012. "Consistent Estimation of Panel Data Models with a Multi-factor Error Structure," School of Economics Discussion Papers 0112, School of Economics, University of Surrey.
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