Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64768 
Year of Publication: 
2009
Series/Report no.: 
cemmap working paper No. CWP34/09
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
In this paper we consider endogenous regressors in the binary choice model under a weak median exclusion restriction, but without further specification of the distribution of the unobserved random components. Our reduced form specification with heteroscedastic residuals covers various heterogeneous structural binary choice models. As a particularly relevant example of a structural model where no semiparametric estimator has of yet been analyzed, we consider the binary random utility model with endogenous regressors and heterogeneous parameters. We employ a control function IV assumption to establish identification of a slope parameter [beta] by the mean ratio of derivatives of two functions of the instruments. We propose an estimator based on direct sample counterparts, and discuss the large sample behavior of this estimator. In particular, we show '√'n consistency and derive the asymptotic distribution. In the same framework, we propose tests for heteroscedasticity, overidentification and endogeneity. We analyze the small sample performance through a simulation study. An application of the model to discrete choice demand data concludes this paper.
Subjects: 
Semiparametric
Binary Choice
Endogeneity
Average Derivative
Control Function
Random Coefficients
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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