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Applications of Generalized Method of Moments Estimation

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Jeffrey M. Wooldridge

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Abstract

I describe how the method of moments approach to estimation, including the more recent generalized method of moments (GMM) theory, can be applied to problems using cross section, time series, and panel data. Method of moments estimators can be attractive because in many circumstances they are robust to failures of auxiliary distributional assumptions that are not needed to identify key parameters. I conclude that while sophisticated GMM estimators are indispensable for complicated estimation problems, it seems unlikely that GMM will provide convincing improvements over ordinary least squares and two-stage least squares--by far the most common method of moments estimators used in econometrics--in settings faced most often by empirical researchers.

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Publisher Info
Article provided by American Economic Association in its journal Journal of Economic Perspectives.

Volume (Year): 15 (2001)
Issue (Month): 4 (Fall)
Pages: 87-100
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Handle: RePEc:aea:jecper:v:15:y:2001:i:4:p:87-100

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  2. White, Halbert, 1982. "Instrumental Variables Regression with Independent Observations," Econometrica, Econometric Society, vol. 50(2), pages 483-99, March. [Downloadable!] (restricted)
  3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July. [Downloadable!] (restricted)
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  5. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-53, October. [Downloadable!] (restricted)
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  8. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier. [Downloadable!] (restricted)
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  16. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January. [Downloadable!] (restricted)
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  1. Santos-Paulino, Amelia U., 2007. "Trade Sustainability and Aid under Liberalization in Fragile Least Developed Countries," Working Papers UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER). [Downloadable!]
  2. Abigail Barr & Pieter Serneels, 2004. "Wages and Reciprocity in the Workplace," Development and Comp Systems 0409064, EconWPA. [Downloadable!]
  3. José Sánchez-fung, 2005. "Estimating a monetary policy reaction function for the dominican republic," International Economic Journal, Korean International Economic Association, vol. 19(4), pages 563-577, December. [Downloadable!] (restricted)
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  4. Stefan Boes, 2007. "Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach," Working Papers 0704, University of Zurich, Socioeconomic Institute. [Downloadable!]
  5. Christian Proaño Acosta, 2007. "Inflation Differentials and Business Cycle Fluctuations in the European Monetary Union," IMK Working Paper 05-2007, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute. [Downloadable!]
  6. Ekkehard Ernst & Peter Flaschel & Christian Proano & Willi Semmler, 2006. "Disequilibrium Macroeconomic Dynamics, Income Distribution and Wage-Price Phillips Curves," IMK Working Paper 04-2006, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute. [Downloadable!]
  7. Notten, Geranda & de Crombrugghe, Denis, 2006. "Poverty risk and consumption smoothing abilities in Russia," MPRA Paper 5314, University Library of Munich, Germany, revised 27 Jul 2007. [Downloadable!]
  8. Khan, Safdar Ullah & Saqib, Omar Farooq, 2008. "Political Instability and Inflation in Pakistan," MPRA Paper 13056, University Library of Munich, Germany, revised 02 Jan 2009. [Downloadable!]
  9. Cristina Arellano & Aleš Bulir & Timothy D. Lane & Leslie Lipschitz, 2005. "The Dynamic Implications of Foreign Aid and Its Variability," IMF Working Papers 05/119, International Monetary Fund. [Downloadable!]
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  10. Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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