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Testing the binomial fixed effects logit model, with an application to female labour supply


Winkelmann, Rainer; Xu, Lin (2021). Testing the binomial fixed effects logit model, with an application to female labour supply. Empirical Economics:online.

Abstract

Regression models for proportions are frequently encountered in applied work. The conditional expectation function is bounded between 0 and 1 and therefore must be nonlinear, requiring nonstandard panel data extensions. One possible approach is the binomial panel logit model with fixed effects (Machado in J Econom 119:73–98, 2004). We propose a new and simple implementation of this conditional maximum likelihood estimator for standard software. We investigate the properties of the estimator under misspecification and derive a new test for overdispersion. Estimator and test are applied in a study of contracted working volumes, measured as proportion of full-time work, for women in Switzerland.

Abstract

Regression models for proportions are frequently encountered in applied work. The conditional expectation function is bounded between 0 and 1 and therefore must be nonlinear, requiring nonstandard panel data extensions. One possible approach is the binomial panel logit model with fixed effects (Machado in J Econom 119:73–98, 2004). We propose a new and simple implementation of this conditional maximum likelihood estimator for standard software. We investigate the properties of the estimator under misspecification and derive a new test for overdispersion. Estimator and test are applied in a study of contracted working volumes, measured as proportion of full-time work, for women in Switzerland.

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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Economics
Dewey Decimal Classification:330 Economics
Scopus Subject Areas:Physical Sciences > Statistics and Probability
Physical Sciences > Mathematics (miscellaneous)
Social Sciences & Humanities > Social Sciences (miscellaneous)
Social Sciences & Humanities > Economics and Econometrics
Uncontrolled Keywords:Proportions data, unobserved heterogeneity, conditional maximum likelihood, overdispersion
Language:English
Date:6 March 2021
Deposited On:08 Jul 2021 11:55
Last Modified:09 Jul 2021 20:00
Publisher:Springer
ISSN:0377-7332
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/s00181-021-02034-2
Related URLs:https://doi.org/10.5167/uzh-170370

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