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Endogeneity in semiparametric binary response models

Authors: Richard Blundell and James L. Powell
Date: 01 July 2001
Type: cemmap Working Paper, CWP05/01
DOI: 10.1920/wp.cem.2001.0501


This paper develops and implements semiparametric methods for estimating binary response (binary choice) models withcontinuous endogenous regressors. It extends the existing literature on semiparametric estimation in single index binary response models to the case of endogenous regressors.

It develops a control function approach to accounting for endogeneity in triangular and fully simulataneous binary response models. An application is given to the case of estimating the income effect in a labor market participation problem using a large micro data set from the British FES. The semiparametric estimator is found to perform well detecting a significant attenuation bias. The proposed estimator is contrasted to the corresponding Probit and Linear Probability specifications. Download full version

Now published:
Richard Blundell and James L. Powell July 2004, Endogeneity in semiparametric binary response models, Journal article

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