Identication of Average Random Coe¢ cients under Magnitude and Sign Restrictions on Confounding
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چکیده
This paper studies measuring the average e¤ects of X on Y in a structural system with random coe¢ cients and confounding. We do not require (conditionally) exogenous regressors or instruments. Using proxies W for the confounders U , we ask how do the average direct e¤ects of U on Y compare in magnitude and sign to those of U on W . Exogeneity and equior proportional confounding are limit cases yielding full identi cation. Alternatively, the elements of are partially identi ed in a sharp bounded interval if W is su¢ ciently sensitive to U , and sharp upper or lower bounds may obtain otherwise. We extend this analysis to accommodate conditioning on covariates and a semiparametric separable speci cation as well as a panel structure and proxies included in the Y equation. After studying estimation and inference, we apply this method to study the nancial return to education and the black-white wage gap. Keywords: causality, confounding, endogeneity, omitted variable, partial identi cation, proxy.
منابع مشابه
Material for “ Identification of Average Effects under Magnitude and Sign Restrictions on Confounding ” Karim
Appendix B.1 extends the results in Section 4 on the identification of average exogenous random coeffi cients to study a panel structure and proxies included in the Y equation. Appendix B.2 characterizes the OVB of nonparametric regression and IV methods when U enters the Y and W equations additively separably. Appendix B.3 characterizes the nonparametric regression bias for β̄(x, x∗|x∗, s) and ...
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تاریخ انتشار 2012