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We study identification and estimation in a binary response model with random coefficients B allowed to be correlated with regressors X. Our objective is to identify the mean of the distribution of B and estimate a trimmed mean of this distribution. Like Imbens and Newey (2009), we use...
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We study identification and estimation of the average treatment effect in a correlated random coefficients model that allows for first stage heterogeneity and binary instruments. The model also allows for multiple endogenous variables and interactions between endogenous variables and covariates....
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squared distance is proposed. The statistic’s asymptotic distribu- tion under the MAR hypothesis is derived. We demonstrate … conditional on covariates X (MCAR(X)). A Monte Carlo study examines finite sample performance of our test statistic. An empirical …
Persistent link: https://www.econbiz.de/10010503886
squared distance is proposed. The statistic’s asymptotic distribution under the MAR hypothesis is derived. In particular, our … of our test statistic. An empirical illustration analyzes the nonresponse mechanism in labor income questions. …
Persistent link: https://www.econbiz.de/10011619523
squared distance is proposed. The statistic's asymptotic distribution under the MAR hypothesis is derived. In particular, our … of our test statistic. An empirical illustration analyzes the nonresponse mechanism in labor income questions. …
Persistent link: https://www.econbiz.de/10011894725
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This note presents an estimator for the linear correlated random coefficient model which is an extension of Garen's (1984) selectivity bias method. The choice between the proposed estimator and IV estimation reflects a trade-off between efficiency and first-stage reduced form robustness
Persistent link: https://www.econbiz.de/10013098520