Nonparametric inference on the number of equilibria

Maximilian Kasy

Working Paper from Harvard University OpenScholar

Abstract: This paper proposes an estimator and develops an inference procedure for the number of roots of functions which are nonparametrically identified by conditional moment restrictions. It is shown that a smoothed plug-in estimator of the number of roots is super-consistent under i.i.d. asymptotics, but asymptotically normal under non-standard asymptotics. The smoothed estimator is furthermore asymptotically efficient relative to a simple plug-in estimator. The procedure proposed is used to construct confidence sets for the number of equilibria of static games of incomplete information and of stochastic difference equations. In an application to panel data on neighborhood composition in the United States, no evidence of multiple equilibria is found.

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Related works:
Journal Article: Non‐parametric inference on the number of equilibria (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:qsh:wpaper:32847

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