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dc.contributor.authorRehme, Güntheren_US
dc.date.accessioned2006-05-04en_US
dc.date.accessioned2010-05-14T11:56:51Z-
dc.date.available2010-05-14T11:56:51Z-
dc.date.issued2006en_US
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_US
dc.language.isoengen_US
dc.publisherTechn. Univ., Inst. für Volkswirtschaftslehre Darmstadten_US
dc.relation.ispartofseriesDarmstadt discussion papers in economics 163en_US
dc.subject.jelO4en_US
dc.subject.jelI2en_US
dc.subject.jelD31en_US
dc.subject.jelH2en_US
dc.subject.ddc330en_US
dc.subject.keywordEducationen_US
dc.subject.keywordGrowthen_US
dc.subject.keywordInequalityen_US
dc.subject.keywordPolicyen_US
dc.subject.stwWirtschaftswachstumen_US
dc.subject.stwEinkommensverteilungen_US
dc.subject.stwBildungen_US
dc.subject.stwHumankapitalen_US
dc.subject.stwHochqualifizierte Arbeitskräfteen_US
dc.subject.stwGini-Koeffizienten_US
dc.subject.stwLorenz-Kurveen_US
dc.subject.stwTheorieen_US
dc.titleEducation, economic growth and measured income inequalityen_US
dc.typeWorking Paperen_US
dc.identifier.ppn511220340en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:Darmstadt Discussion Papers in Economics, Inst. f. VWL, TU Darmstadt

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