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Blinder–Oaxaca decomposition for Tobit models
[Zeitschriftenartikel]
Abstract 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 coefficie... mehr
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.... weniger
Klassifikation
Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Arbeitsmarktforschung
Freie Schlagwörter
Blinder-Oaxaca decomposition; Tobit model; gender wage gap
Sprache Dokument
Englisch
Publikationsjahr
2010
Seitenangabe
S. 1569-1575
Zeitschriftentitel
Applied Economics, 42 (2010) 12
DOI
https://doi.org/10.1080/00036840701721612
Status
Postprint; begutachtet (peer reviewed)
Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)