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https://hdl.handle.net/10419/20698
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DC Field | Value | Language |
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dc.contributor.author | Albrecht, James | en |
dc.contributor.author | van Vuuren, Aico | en |
dc.contributor.author | Vroman, Susan | en |
dc.date.accessioned | 2009-01-28T16:16:03Z | - |
dc.date.available | 2009-01-28T16:16:03Z | - |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://hdl.handle.net/10419/20698 | - |
dc.description.abstract | In this paper, we use quantile regression decomposition methods to analyze the gender gapbetween men and women who work full time in the Netherlands. Because the fraction ofwomen working full time in the Netherlands is quite low, sample selection is a serious issue.In addition to shedding light on the sources of the gender gap in the Netherlands, we maketwo methodological contributions. First, we prove that the Machado-Mata quantile regressiondecomposition procedure yields consistent and asymptotically normal estimates of thequantiles of the counterfactual distribution that it is designed to simulate. Second, we showhow the technique can be extended to account for selection.We find that there is a positive selection of women into full-time work in the Netherlands; i.e.,women who get the greatest return to working full time do work full time. We find that abouttwo thirds of this selection is due to observables such as education and experience with theremainder due to unobservables. Our decompositions show that the majority of the genderlog wage gap is due to differences between men and women in returns to labor marketcharacteristics rather than to differences in the characteristics. This is true across the wagedistribution, particularly in the top half of the distribution. | en |
dc.language.iso | eng | en |
dc.publisher | |aInstitute for the Study of Labor (IZA) |cBonn | en |
dc.relation.ispartofseries | |aIZA Discussion Papers |x1400 | en |
dc.subject.jel | C24 | en |
dc.subject.jel | J71 | en |
dc.subject.jel | J31 | en |
dc.subject.jel | J22 | en |
dc.subject.ddc | 330 | en |
dc.subject.keyword | gender | en |
dc.subject.keyword | quantile regression | en |
dc.subject.keyword | selection | en |
dc.subject.stw | Lohndifferenzierung | en |
dc.subject.stw | Geschlecht | en |
dc.subject.stw | Niederlande | en |
dc.title | Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 476328632 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
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