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dc.contributor.authorWambugu, Anthonyswe
dc.date.accessioned2006-12-08swe
dc.date.accessioned2007-02-09T11:15:22Z
dc.date.available2007-02-09T11:15:22Z
dc.date.issued2002swe
dc.identifier.issn1403-2465swe
dc.identifier.urihttp://hdl.handle.net/2077/2769
dc.description.abstractThis paper studies how real wages and wage returns to human capital in Kenya manufacturing firms changed, using cross-section data sets from a survey conducted in 1993, 1994, 1995, and 2000. A quantile regression technique is used to examine how the impact of human capital varies across the conditional wage distribution. The study found that between 1993 and 2000, the real wage, standardized for observable human capital characteristics increased, while returns to education appear to have been stable. Returns to education are highest for workers educated to advanced levels of education at all quartiles. Moreover, workers at the extreme top of the wage distribution have the highest returns to education while workers at the extreme bottom of the wage distribution have the lowest returns to education. This suggests that at each level of education, unmeasured factors compliment schooling in wage determination. Other dimensions of human capital such as tenure in current firm and worker's age are also significantly correlated with wages.swe
dc.format.extent30 pagesswe
dc.format.extent1282021 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenswe
dc.relation.ispartofseriesWorking Papers in Economics, nr 75swe
dc.subjectQuantile regression; returns to schooling; Kenyaswe
dc.titleReal Wages and Returns to Human Capital in Kenya Manufacturing firmsswe
dc.type.svepReportswe
dc.contributor.departmentDepartment of Economicsswe
dc.gup.originGöteborg University. School of Business, Economics and Lawswe
dc.gup.epcid2305swe
dc.subject.svepEconomicsswe


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