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dc.contributor.authorDahl, Gordonen_US
dc.date.accessioned2011-10-26T01:31:00Z-
dc.date.available2011-10-26T01:31:00Z-
dc.date.issued1997-05-01T00:00:00Zen_US
dc.identifier.citationEconometrica , Vol. 70, No. 6, November, 2002en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01tt44pm85v-
dc.description.abstractThis paper develops and applies a new semi-parametric correction for sample-selection in the context of a multi-market Roy model of mobility and earnings. Instead of workers choosing occupations as in Roy's paper, this paper formulates a model where individuals choose which of the 50 states in the U.S. (plus the District of Columbia) to live and work in. The new econometric methodology combines Lee's (1982) parametric "maximum order statistic" approach to multi-choice selection models with Ahn and Powell’s (1993) more recent work on "single-index" models. The resulting correction requires no assumptions on the joint distribution of the error terms in the outcome and multiple selection equations and can easily be adapted to a variety of other polychotomous choice problems. The empirical work, which uses Census data for I980 and 1990, confirms the role of comparative advantage in mobility decisions. The results suggest that self-selection of higher educated people to states with higher returns to education generally leads to downward biases in the returns to education in state-specific labor markets. I also find that state-to-state migration flows respond strongly to differences in the return to education and amenities across states.en_US
dc.relation.ispartofseriesWorking Papers (Princeton University. Industrial Relations Section) ; 381en_US
dc.relation.urihttp://links.jstor.org/sici?sici=0012-9682%28200211%2970%3A6%3C2367%3AMATRTE%3E2.0.CO%3B2-Aen_US
dc.subjectRoy modelen_US
dc.subjectgeographic mobilityen_US
dc.subjectreturn to educationen_US
dc.subjectselectivity biasen_US
dc.titleMobility and the Returns to Education: Testing A Roy Model With Multiple Marketsen_US
dc.typeWorking Paperen_US
pu.projectgrantnumber360-2050en_US
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