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Blinder–Oaxaca decomposition for Tobit models

[journal article]

Bauer, Thomas K.; Sinning, Mathias

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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.
Classification Labor Market Research; Economic Statistics, Econometrics, Business Informatics
Free Keywords Blinder-Oaxaca decomposition; Tobit model; gender wage gap
Document language German
Publication Year 2010
Page/Pages p. 1569-1575
Journal Applied Economics, 42 (2010) 12
Status Postprint; peer reviewed
Licence PEER Licence Agreement (applicable only to documents from PEER project)