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An instrumental variable random-coefficients model for binary outcomes

Authors: Andrew Chesher and Adam Rosen
Date: 22 April 2015
Type: Journal article, Econometrics Journal, Vol. 17, No. 2, pp. S1-S19
DOI: 10.1111/ectj.12018


In this paper, we study a random-coefficients model for a binary outcome. We allow for the possibility that some or even all of the explanatory variables are arbitrarily correlated with the random coefficients, thus permitting endogeneity. We assume the existence of observed instrumental variables Z that are jointly independent with the random coefficients, although we place no structure on the joint determination of the endogenous variable X and instruments Z, as would be required for a control function approach. The model fits within the spectrum of generalized instrumental variable models, and we thus apply identification results from our previous studies of such models to the present context, demonstrating their use. Specifically, we characterize the identified set for the distribution of random coefficients in the binary response model with endogeneity via a collection of conditional moment inequalities, and we investigate the structure of these sets by way of numerical illustration.

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Andrew Chesher and Adam Rosen October 2012, An instrumental variable random coefficients model for binary outcomes, cemmap Working Paper, CemmapLondon

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