Russell Davidson
James G. MacKinnon

the case against jive (replication data)

We perform an extensive series of Monte Carlo experiments to compare the performance of two variants of the jackknife instrumental variables estimator, or JIVE, with that of the more familiar 2SLS and LIML estimators. We find no evidence to suggest that JIVE should ever be used. It is always more dispersed than 2SLS, often very much so, and it is almost always inferior to LIML in all respects. Interestingly, JIVE seems to perform particularly badly when the instruments are weak.

Data and Resources

Suggested Citation

Davidson, Russell; MacKinnon, James G. (2006): The case against JIVE (replication data). Version: 1. Journal of Applied Econometrics. Dataset.