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dc.contributor.authorRegan, Tracy L.en_US
dc.contributor.authorOaxaca, Ronald L.en_US
dc.date.accessioned2006-05-23en_US
dc.date.accessioned2010-07-07T09:10:14Z-
dc.date.available2010-07-07T09:10:14Z-
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/10419/33318-
dc.description.abstractWe address the bias from using potential vs. actual experience in earnings models. Statistical tests reject the classical errors-in-variable framework. The nature of the measurement error is best viewed as a model misspecification problem. We correct for this by modeling actual experience as a stochastic regressor and predicting experience using the NLSY79 and the PSID. Predicted experience measures are applied to the IPUMS. Our results suggest that potential experience biases the effects of schooling and the rates of return to labor market experience. Using such a measure in earnings models underestimates the explained portion of the male-female wage gap.en_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesIZA Discussion Papers 1920en_US
dc.subject.jelC81en_US
dc.subject.jelJ24en_US
dc.subject.jelJ31en_US
dc.subject.ddc330en_US
dc.subject.keywordexperienceen_US
dc.subject.keywordspecification erroren_US
dc.subject.keyworddecompositionen_US
dc.subject.keywordgenderen_US
dc.subject.stwLohndifferenzierungen_US
dc.subject.stwGeschlechten_US
dc.subject.stwDekompositionsverfahrenen_US
dc.subject.stwModell-Spezifikationen_US
dc.subject.stwBerufserfahrungen_US
dc.subject.stwSch├Ątzungen_US
dc.subject.stwUSAen_US
dc.titleWork experience as a source of specification error in earnings models: implications for gender wage decompositionsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn506211657en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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