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Blinder–Oaxaca decomposition for Tobit models

[Zeitschriftenartikel]

Bauer, Thomas K.; Sinning, Mathias

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):http://nbn-resolving.de/urn:nbn:de:0168-ssoar-251083

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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 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.
Klassifikation Arbeitsmarktforschung; Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Freie Schlagwörter Blinder-Oaxaca decomposition; Tobit model; gender wage gap
Sprache Dokument Deutsch
Publikationsjahr 2010
Seitenangabe S. 1569-1575
Zeitschriftentitel Applied Economics, 42 (2010) 12
DOI http://dx.doi.org/10.1080/00036840701721612
Status Postprint; begutachtet (peer reviewed)
Lizenz PEER Licence Agreement (applicable only to documents from PEER project)
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