Weak Instruments in Instrumental Variables Regression: Theory and Practice
Harvard University · Massachusetts Institute of Technology
Abstract
When instruments are weakly correlated with endogenous regressors, conventional methods for instrumental variables (IV) estimation and inference become unreliable. A large literature in econometrics has developed procedures for detecting weak instruments and constructing robust confidence sets, but many of the results in this literature are limited to settings with independent and homoskedastic data, while data encountered in practice frequently violate these assumptions. We review the literature on weak instruments in linear IV regression with an emphasis on results for nonhomoskedastic (heteroskedastic, serially correlated, or clustered) data. To assess the practical importance of weak instruments, we also…
Citation impact
- FWCI
- 140.96
- Percentile
- 100%
- References
- 63
Authors
3Topics & keywords
- Instrumental variable
- Heteroscedasticity
- Econometrics
- Inference
- Causal inference
- Regression
- Regression analysis
- Economics