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Generalized Method of Moments, Efficient Bootstrapping, and Improved Inferenceby: B. W. Brown, W. K. Newey
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AbstractGeneralized method of moments (GMM) has been an important innovation in econometrics. Its usefulness has motivated a search for good inference procedures based on GMM. This article presents a novel method of bootstrapping for GMM based on resampling from the empirical likelihood distribution that imposes the moment restrictions. We show that this approach yields a large-sample improvement and is efficient, and give examples. We also discuss the development of GMM and other recent work on improved inference.
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