Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/21429
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dc.contributor.authorBelzil, Christianen_US
dc.contributor.authorHansen, Jörgenen_US
dc.date.accessioned2009-01-28T16:22:20Z-
dc.date.available2009-01-28T16:22:20Z-
dc.date.issued2002en_US
dc.identifier.urihttp://hdl.handle.net/10419/21429-
dc.description.abstractWe estimate a finite mixture dynamic programming model of schooling decisions in which the log wage regression function is set in a random coefficient framework. The model allows for absolute and comparative advantages in the labor market and assumes that the population is composed of 8 unknown types. Overall, labor market skills (as opposed to taste for schooling) appear to be the prime factor explaining schooling attainments. The estimates indicate a higher cross-sectional variance in the returns to experience than in the returns to schooling. From various simulations, we find that the sub-population mostly affected by a counterfactual change in the utility of attending school is composed of individuals who have any combination of some of the following attributes: absolute advantages in the labor market, high returns to experience, low utility of attending school and relatively low returns toschooling. Unlike what is often postulated in the average treatment effect literature, the weak correlation (unconditional) between the returns to schooling and the individual reactions to treatment is not sufficient to reconcile the discrepancy between OLS and IV estimates of thereturns to schooling often found in the literature.en_US
dc.language.isoengen_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen_US
dc.relation.ispartofseries|aIZA Discussion paper series |x512en_US
dc.subject.jelJ3en_US
dc.subject.jelJ2en_US
dc.subject.ddc330en_US
dc.subject.keywordrandom coefficienten_US
dc.subject.keywordreturns to schoolingen_US
dc.subject.keywordcomparative advantagesen_US
dc.subject.keyworddynamic programmingen_US
dc.subject.keyworddynamic self-selectionen_US
dc.subject.stwBildungsertragen_US
dc.subject.stwBildungsverhaltenen_US
dc.subject.stwNutzenfunktionen_US
dc.subject.stwDynamische Optimierungen_US
dc.subject.stwLohnen_US
dc.subject.stwRegressionen_US
dc.subject.stwSchätzungen_US
dc.subject.stwVereinigte Staatenen_US
dc.titleA Structural Analysis of the Correlated Random Coefficient Wage Regression Modelen_US
dc.typeWorking Paperen_US
dc.identifier.ppn845581651en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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