Identification and inference with many invalid instruments
By: Michal Kolesár ... [et al.].
Contributors: National Bureau of Economic Research
Series: NBER working paper series -- working paper 17519; Working paper series (National Bureau of Economic Research : Online) -- working paper no. 17519.
Publisher: National Bureau of Economic Research
Published: 2011
Place of publication: Cambridge, MA
Language: eng
Format: Electronic resource
Description: "We analyze linear models with a single endogenous regressor in the presence of many instrumental variables.  We weaken a key assumption typically made in this literature by allowing all the instruments to have direct effects on the outcome.  We consider restrictions on these direct effects that allow for point identification of the effect of interest.  The setup leads to new insights concerning the properties of conventional estimators, novel identification strategies, and new estimators to exploit those strategies.  A key assumption underlying the main identification strategy is that the product of the direct effects of the instruments on the outcome and the effects of the instruments on the endogenous regressor has expectation zero.  We argue in the context of two specific examples with a group structure that this assumption has substantive content"--National Bureau of Economic Research web site.
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