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

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  • Firmin Doko Tchatoka

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.

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  • Firmin Doko Tchatoka, 2019. "Near exogeneity, weak identification and specification testing: Some asymptotic results," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(13), pages 3191-3207, July.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:13:p:3191-3207
    DOI: 10.1080/03610926.2018.1473611
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