Near exogeneity, weak identification and specification testing: Some asymptotic results

Firmin Doko Tchatoka

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 13, 3191-3207

Abstract: The paper studies the asymptotic size property of various specification tests in linear structural models where instrumental variables may locally violate the exclusion restrictions. Our results provide some new insights and extensions of earlier studies. In particular, we derive an explicit formula of the asymptotic size of the tests which shows clearly the factors that influence their size under instrument endogeneity. We show that all tests have correct asymptotic size when the usual orthogonality condition holds, but their asymptotic size can be arbitrary large even if only one instrument is slightly correlated with the error term. We present a Monte Carlo experiment that confirms our theoretical findings.

Date: 2019
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DOI: 10.1080/03610926.2018.1473611

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