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dc.contributor.authorMoral Arce, Ignacio
dc.contributor.authorSperlich, Stefan 
dc.contributor.authorFernández Sáinz, Ana Isabel
dc.contributor.authorRoca Castro, María José
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.description.abstractThis article studies the trend in wage discrimination in Spain during the period 1995-2002. We first introduce a novel approach to the analysis of wage discrimination with methods which are rather robust to model (mis-)specification. To that end we apply semiparametric methods to the decomposition of wage differentials between men and women based on classical approaches. We extend the methodology to further decompositions and semiparametric quantile estimation, and discuss sample selection bias correction. In addition, to study inequality, some descriptive analysis is presented again using sophisticated nonparametric techniques.es_ES
dc.format.extent42 p.es_ES
dc.publisherFundación de las Cajas de Ahorros (FUNCAS)es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.sourceDocumentos de Trabajo FUNCAS, ISSN-e 1988-8767, Nº. 382, 2008es_ES
dc.subject.otherWage differentialses_ES
dc.subject.otherQuantile regressiones_ES
dc.subject.otherSemiparametric modeles_ES
dc.subject.otherGender pay gapes_ES
dc.subject.otherOaxaca-Blinder decompositiones_ES
dc.titleAnalyzing semiparametrically the trends in the gender pay gap - The example of Spaines_ES

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Atribución-NoComercial-SinDerivadas 3.0 EspañaExcept where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España