This paper examines three distinct hypothesis testing problems that arise in the context of identification of some nonparametric models with endogeneity. The first hypothesis testing problem we study concerns testing necessary conditions for identification in some nonparametric models with endogeneity involving mean independence restrictions. These conditions are typically referred to as completeness conditions. The second and third hypothesis testing problems we examine concern testing for identification directly in some nonparametric models with endogeneity involving quantile independence restrictions. For each of these hypothesis testing problems, we provide conditions under which test will have power no greater than size against alternative. In this sense, we conclude that no nontrivial tests for these hypothesis testing problems exist.
MLA
Canay, Ivan A., et al. “On the Testability of Identification in Some Nonparametric Models With Endogeneity.” Econometrica, vol. 81, .no 6, Econometric Society, 2013, pp. 2535-2559, https://doi.org/10.3982/ECTA10851
Chicago
Canay, Ivan A., Andres Santos, and Azeem M. Shaikh. “On the Testability of Identification in Some Nonparametric Models With Endogeneity.” Econometrica, 81, .no 6, (Econometric Society: 2013), 2535-2559. https://doi.org/10.3982/ECTA10851
APA
Canay, I. A., Santos, A., & Shaikh, A. M. (2013). On the Testability of Identification in Some Nonparametric Models With Endogeneity. Econometrica, 81(6), 2535-2559. https://doi.org/10.3982/ECTA10851
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