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Endogeneity in Semiparametric Binary Response Models

BLUNDELL, RICHARD W., POWELL, JAMES L.·2004·Review of Economic Studies

Abstract

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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Metadata

Authors
BLUNDELL, R. W., & POWELL, J. L.
Venue
Review of Economic Studies
Published
2004-07
Volume
71
Issue
3
Pages
655-679
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W3126059685
Cited by
390
References
0
FWCI
8.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Endogeneity in Semiparametric Binary Response Models. https://app.cochat.ai/papers/10.1111/j.1467-937x.2004.00299.x
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BLUNDELL, R. W., & POWELL, J. L. (2004). Endogeneity in Semiparametric Binary Response Models. Review of Economic Studies. https://doi.org/10.1111/j.1467-937x.2004.00299.x

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