The case against JIVE

James MacKinnon and Russell Davidson

Journal of Applied Econometrics, 2006, vol. 21, issue 6, 827-833

Abstract: 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. Copyright © 2006 John Wiley & Sons, Ltd.

Date: 2006
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Related works:
Working Paper: THE CASE AGAINST JIVE (2006)
Working Paper: The Case Against Jive (2004)
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DOI: 10.1002/jae.873

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