DMCA
A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments (2002)
| Venue: | Journal of Business & Economic Statistics |
| Citations: | 482 - 11 self |
BibTeX
@ARTICLE{Stock02asurvey,
author = {James H. Stock and Jonathan H. Wright and Motohiro Yogo},
title = {A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments},
journal = {Journal of Business & Economic Statistics},
year = {2002},
pages = {518--529}
}
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Abstract
Weak instruments arise when the instruments in linear instrumental variables (IV) regression are weakly correlated with the included endogenous variables. In generalized method of moments (GMM), more generally, weak instruments correspond to weak identification of some or all of the unknown parameters. Weak identification leads to GMM statistics with nonnormal distributions, even in large samples, so that conventional IV or GMM inferences are misleading. Fortunately, various procedures are now available for detecting and handling weak instruments in the linear IV model and, to a lesser degree, in nonlinear GMM. KEY WORDS:
