Blinder-Oaxaca Decomposition for Tobit Models
Copyright policy )Blinder-Oaxaca Decomposition for Tobit Models
In this paper, a decomposition method for Tobit-models is derived, which allows the differences in observed outcome variables between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part attributable to differences in the estimated coefficients. Monte Carlo simulations demonstrate that in the case of censored dependent variables this decomposition method produces more reliable results than the conventional Blinder-Oaxaca decomposition for linear regression models. Finally, our method is applied to a decomposition of the gender wage gap using German data.
- Ruhr University Bochum Germany
- University of Queensland Australia
- Australian National University Australia
- Leibniz Association Germany
- Institute for the Study of Labor Germany
Economics, Keywords: decomposition analysis, 2002 Cultural Studies, Blinder-Oaxaca decomposition, Tobit model, wage gap, Social Sciences & Humanities, J31, Labor Market Research, wage gap, Economic Statistics, Econometrics, Business Informatics, Blinder-Oaxaca decomposition,Tobit model,wage gap, ddc:330, Arbeitsmarktforschung, Wirtschaft, Blinder-Oaxaca decomposition; Tobit model; wage gap, Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik, Monte Carlo analysis, C24, gender disparity, Blinder-Oaxaca decomposition, Tobit model, numerical model, Blinder-Oaxaca decomposition; Tobit model; gender wage gap, jel: jel:C24, jel: jel:J31, ddc: ddc:330
Economics, Keywords: decomposition analysis, 2002 Cultural Studies, Blinder-Oaxaca decomposition, Tobit model, wage gap, Social Sciences & Humanities, J31, Labor Market Research, wage gap, Economic Statistics, Econometrics, Business Informatics, Blinder-Oaxaca decomposition,Tobit model,wage gap, ddc:330, Arbeitsmarktforschung, Wirtschaft, Blinder-Oaxaca decomposition; Tobit model; wage gap, Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik, Monte Carlo analysis, C24, gender disparity, Blinder-Oaxaca decomposition, Tobit model, numerical model, Blinder-Oaxaca decomposition; Tobit model; gender wage gap, jel: jel:C24, jel: jel:J31, ddc: ddc:330
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