Estimation with many instrumental variables

Christian Hansen, Jerry Hausman and Whitney Newey

No CWP19/06, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

Abstract: Using many valid instrumental variables has the potential to improve efficiency but makes the usual inference procedures inaccurate. We give corrected standard errors, an extension of Bekker (1994) to nonnormal disturbances, that adjust for many instruments. We find that this adujstment is useful in empirical work, simulations, and in the asymptotic theory. Use of the corrected standard errors in t-ratios leads to an asymptotic approximation order that is the same when the number of instrumental variables grow as when the number of instruments is fixed. We also give a version of the Kleibergen (2002) weak instrument statistic that is robust to many instruments.

Pages: 54 pp.
Date: 2006-09-29
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (10)

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Related works:
Journal Article: Estimation With Many Instrumental Variables (2008)
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