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Journal of Economic Perspectives: Vol. 15 No. 4 (Fall 2001)

JEP Volume. 15, Issue 4 | Previous ArticleNext Article

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Applications of Generalized Method of Moments Estimation

Article Citation

Wooldridge, Jeffrey M. 2001. "Applications of Generalized Method of Moments Estimation." Journal of Economic Perspectives, 15(4): 87-100.

DOI: 10.1257/jep.15.4.87

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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Authors

Wooldridge, Jeffrey M. (MI State U)

JEL Classifications

C20: Single Equation Models; Single Variables: General
C30: Multiple or Simultaneous Equation Models: General

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