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dc.contributor.authorBehr, Andreasen_US
dc.contributor.authorPötter, Ulrichen_US
dc.description.abstractWe analyse differences between the wage distributions in the USA and Germany in 2001 both for women and men. The empirical analysis is based on the decomposition of differences using Cox's marginal (partial) likelihood. The approach based on rank invariant estimators such as Cox's is borrowed from the literature on failure time data. Donald et al. (2000) pioneered this approach. However, they did not use the full power of the semi-parametric approach. Instead, they argued for using a piecewise constant hazard rate model. We improve on their work by showing that the semi-parametric features of Cox's marginal likelihood are as appropriate for the analysis of wage decompositions and as easy to interpret. Moreover, we extend their approach by allowing for nonlinear regression effects. We will show empirically that this formulation will both increase the flexibility of their approach and improve the discriminatory power between wage regimes.en_US
dc.publisher|aCentrum für angewandte Wirtschaftsforschung der Univ. Münster |cMünsteren_US
dc.relation.ispartofseries|aBeiträge zur angewandten Wirtschaftsforschung |x16en_US
dc.titleAnalysing wage differences between the USA and Germany using proportional hazards modelsen_US
dc.typeWorking Paperen_US

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