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Blinder-Oaxaca Decomposition for Tobit Models

descriptionPublicationkeyboard_double_arrow_right Article , Research , Preprint 01 Jan 2005 Australia Publisher:Elsevier BVJournal:Applied Economics, volume 42, pages 1,569-1,575 (issn: 0003-6846, eissn: 1466-4283, Copyright policy )
Authors: Thomas K. Bauer; Mathias Sinning;

doi: 10.2139/ssrn.819864 , 10.1080/00036840701721612

handle: 10419/33268 , 10419/18583 , 1885/34842

Blinder-Oaxaca Decomposition for Tobit Models

Abstract

In this paper, a decomposition method for Tobit-models is derived, which allows the differences in a censored outcome variable 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. The method is applied to a decomposition of the gender wage gap using German data.

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Keywords

Blinder-Oaxaca decomposition,Tobit model,wage gap, ddc:330, Keywords: decomposition analysis, 2002 Cultural Studies, Blinder-Oaxaca decomposition; Tobit model; wage gap, Blinder-Oaxaca decomposition, Tobit model, wage gap, Monte Carlo analysis, C24, gender disparity, Blinder-Oaxaca decomposition, Tobit model, Social Sciences & Humanities, J31, numerical model, wage gap, Blinder-Oaxaca decomposition; Tobit model; gender wage gap, jel: jel:C24, jel: jel:J31

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
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Top 10%
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