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.
Original language | English (US) |
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Pages (from-to) | 518-529 |
Number of pages | 12 |
Journal | Journal of Business and Economic Statistics |
Volume | 20 |
Issue number | 4 |
DOIs | |
State | Published - Oct 2002 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Social Sciences (miscellaneous)
- Economics and Econometrics
- Statistics, Probability and Uncertainty
Keywords
- Instrument relevance
- Instrumental variables
- Similar tests