Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/32057 
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dc.contributor.authorRehme, Güntheren
dc.date.accessioned2006-05-04-
dc.date.accessioned2010-05-14T11:56:51Z-
dc.date.available2010-05-14T11:56:51Z-
dc.date.issued2006-
dc.identifier.urihttp://hdl.handle.net/10419/32057-
dc.description.abstractIn this paper education simultaneously affects growth and income inequality. More education does not necessarily decrease inequality when the latter is assessed by the Lorenz dominance criterion. Increases in education first increase and then decrease growth as well as income inequality, when measured by the Gini coefficient. There is no clear functional relationship between growth and measured income inequality. The model identifies regimes of this relationship which depend crucially on the production and schooling technology. Conventional growth regressions with human capital and inequality as regressors may miss the richness of the underlying nonlinearities, but viewed as approximations may still provide important information on the nonlinear relationship between growth and education.en
dc.language.isoengen
dc.publisher|aTechnische Universität Darmstadt, Department of Law and Economics |cDarmstadten
dc.relation.ispartofseries|aDarmstadt Discussion Papers in Economics |x163en
dc.subject.jelO4en
dc.subject.jelI2en
dc.subject.jelD31en
dc.subject.jelH2en
dc.subject.ddc330en
dc.subject.keywordEducationen
dc.subject.keywordGrowthen
dc.subject.keywordInequalityen
dc.subject.keywordPolicyen
dc.subject.stwWirtschaftswachstumen
dc.subject.stwEinkommensverteilungen
dc.subject.stwBildungen
dc.subject.stwHumankapitalen
dc.subject.stwHochqualifizierte Arbeitskräfteen
dc.subject.stwGini-Koeffizienten
dc.subject.stwLorenz-Kurveen
dc.subject.stwTheorieen
dc.titleEducation, economic growth and measured income inequality-
dc.typeWorking Paperen
dc.identifier.ppn511220340en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:darddp:dar_25519en

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