Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp019p290934d
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dc.contributor.authorHu, Luojiaen_US
dc.contributor.authorGuell, Maiaen_US
dc.date.accessioned2011-10-26T01:57:46Z-
dc.date.available2011-10-26T01:57:46Z-
dc.date.issued2003-05-01T00:00:00Zen_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp019p290934d-
dc.description.abstractWe propose a new econometric estimation method for analyzing the probability of leaving unemployment using uncompleted spells from repeated cross-section data, which can be especially useful when panel data are not available. The proposed method-of-moments-based estimator has two important features: (1) it estimates the exit probability at the individual level and (2) it does not rely on the stationarity assumption of the inflow composition. We illustrate and gauge the performance of the proposed estimator using the Spanish Labor Force Survey data, and analyze the changes in distribution of unemployment between the 1980s and 1990s during a period of labor market reform. We find that the relative probability of leaving unemployment of the short-term unemployed versus the long-term unemployed becomes significantly higher in the 1990s.en_US
dc.relation.ispartofseriesWorking Papers (Princeton University. Industrial Relations Section) ; 475en_US
dc.subjectrepeated cross-section dataen_US
dc.subjectGMMen_US
dc.subjectduration analysisen_US
dc.subjectunemploymenten_US
dc.titleEstimating the Probability of Leaving Unemployment Using Uncompleted Spells from Repeated Cross-section Dataen_US
dc.typeWorking Paperen_US
pu.projectgrantnumber360-2050en_US
Appears in Collections:IRS Working Papers

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