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Multiplicative Panel Data Models Without the Strict Exogeneity Assumption

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Author Info
Wooldridge, Jeffrey M.
Abstract

This paper considers estimation of multiplicative, unobserved components panel data models without imposing a strict exogeneity assumption on the conditioning variables. The method of moments estimators proposed have significant robustness properties. They require only a conditional mean assumption and apply to models with lagged dependent variables and to finite distributed lag models with arbitrary feedback from the explained to future values of the explanatory variables. The model is particularly suited to nonnegative explained variables, including count variables, continuously distributed nonnegative outcomes, and even binary variables. The general model can also be applied to certain nonlinear Euler equations.

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File URL: http://journals.cambridge.org/abstract_S0266466600006125
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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 13 (1997)
Issue (Month): 05 (October)
Pages: 667-678
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cup:etheor:v:13:y:1997:i:05:p:667-678_00

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  1. Costas Meghir & Frank Windmeijer, 1997. "Moment conditions for dynamic panel data models with multiplicative individual effects in the conditional variance," IFS Working Papers W97/21, Institute for Fiscal Studies. [Downloadable!]
    Other versions:
  2. Steen Winther Blindum, 2003. "Relaxing the Strict Exogeneity Assumption in a Dynamic Random Probit Model," CAM Working Papers 2003-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics. [Downloadable!]
  3. Dustmann, Christian & Windmeijer, Frank, 2000. "Wages and the Demand for Health - A Life Cycle Analysis," IZA Discussion Papers 171, Institute for the Study of Labor (IZA). [Downloadable!]
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  4. Frank Windmeijer, 2006. "GMM for panel count data models," Bristol Economics Discussion Papers 06/591, Department of Economics, University of Bristol, UK. [Downloadable!]
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  5. Gautier Duflos, 2006. "Persistence of innovation, technological change and quality-adjusted patents in the US pharmaceutical industry," Cahiers de la Maison des Sciences Economiques bla06029, Université Panthéon-Sorbonne (Paris 1). [Downloadable!]
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  6. Joachim Inkmann, 2000. "Finite Sample Properties of One-step, Two-step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation," CoFE Discussion Paper 00-03, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
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  7. Fidel Pérez Sebastián & Shiferaw Gurmu, 2007. "Patents, R&D And Lag Effects: Evidence From Flexible Methods For Count Panel Data On Manufacturing Firms," Working Papers. Serie AD 2007-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
  8. Shiferaw Gurmu & Fidel Pérez-Sebastián, 2008. "Patents, R&D and lag effects: evidence from flexible methods for count panel data on manufacturing firms," Empirical Economics, Springer, vol. 35(3), pages 507-526, November. [Downloadable!] (restricted)
  9. Jeffrey M Wooldridge, 2002. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," CeMMAP working papers CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
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  10. Ralph Siebert & Georg von Graevenitz, 2006. "How Licensing Resolves Hold-Up: Evidence from a Dynamic Panel Data Model with Unobserved Heterogeneity," Discussion Papers 105, SFB/TR 15 Governance and the Efficiency of Economic Systems, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich. [Downloadable!]
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  11. Myoung-jae Lee & Yasushi Kondo, 2002. "Nonparametric Derivative Estimation for Related-Effect Panel Data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-1, International Conferences on Panel Data. [Downloadable!]
  12. Nathaniel T Wilcox, 2003. "Heterogeneity and Learning Principles," Levine's Bibliography 666156000000000435, UCLA Department of Economics. [Downloadable!]
  13. Bosch, Mariano & Lederman, Daniel & Maloney, William F., 2005. "Patenting and research and development : a global view," Policy Research Working Paper Series 3739, The World Bank. [Downloadable!]
  14. Toole, Andrew A. & Czarnitzki, Dirk, 2007. "Life Scientist Mobility from Academe to Industry: Does Academic Entrepreneurship Induce a Costly ?Brain Drain? on the Not-for-Profit Research Sector?," ZEW Discussion Papers 07-072, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
  15. J Vernon Henderson & James Davis, 2004. "The Agglomeration of Headquarters," Working Papers 04-02, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
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  16. Andrés Romeu, 2004. "ExpEnd: GAUSS code for panel count-data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 429-434. [Downloadable!]
  17. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University. [Downloadable!]
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