This paper develops and implements semiparametric methods for estimating binary response (binary choice) models with continuous endogenous regressors. It extends existing results on semiparametric estimation in single-index binary response models to the case of endogenous regressors. It develops a control function approach to account for endogeneity in triangular and fully simultaneous binary response models. The proposed estimation method is applied to estimate the income effect in a labour market participation problem using a large micro data-set from the British Family Expenditure Survey. 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.
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Univ Bristol, Sch Social & Community Med, Bristol, Avon, EnglandUniv Cambridge, Dept Publ Hlth & Primary Care, Cardiovasc Epidemiol Unit, Cambridge, England
Granell, Raquel
Palmer, Tom M.
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Univ Warwick, Warwick Med Sch, Coventry CV4 7AL, W Midlands, EnglandUniv Cambridge, Dept Publ Hlth & Primary Care, Cardiovasc Epidemiol Unit, Cambridge, England
Palmer, Tom M.
Sterne, Jonathan A. C.
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Univ Bristol, Sch Social & Community Med, Bristol, Avon, EnglandUniv Cambridge, Dept Publ Hlth & Primary Care, Cardiovasc Epidemiol Unit, Cambridge, England
Sterne, Jonathan A. C.
Didelez, Vanessa
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Univ Bristol, Sch Math, Bristol, Avon, EnglandUniv Cambridge, Dept Publ Hlth & Primary Care, Cardiovasc Epidemiol Unit, Cambridge, England