Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/57919 
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dc.contributor.authorLeppin, Julian Sebastianen
dc.date.accessioned2012-05-07-
dc.date.accessioned2012-05-14T10:01:32Z-
dc.date.available2012-05-14T10:01:32Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/10419/57919-
dc.description.abstractThis paper examines the predictive power of different estimation approaches for reservation wages. It applies stochastic frontier models for employed workers and the approach from Kiefer and Neumann (1979b) for unemployed workers. Furthermore, the question of whether or not reservation wages decrease over the unemployment period is addressed. This is done by a pseudo-panel with known reservation wages which uses data from the German Socio-Economic Panel as a basis. The comparison of the estimators is carried out by a Monte Carlo simulation. The best results are achieved by the cross-sectional stochastic frontier model. The Kiefer-Neumann approach failed to predict the decreasing reservation wages correctly.en
dc.language.isoengen
dc.publisher|aHamburgisches WeltWirtschaftsInstitut (HWWI) |cHamburgen
dc.relation.ispartofseries|aHWWI Research Paper |x124en
dc.subject.jelC21en
dc.subject.jelC23en
dc.subject.jelJ64en
dc.subject.ddc330en
dc.subject.keywordjob search theoryen
dc.subject.keywordMonte Carlo simulationen
dc.subject.keywordreservation wagesen
dc.subject.keywordstochastic wage frontiersen
dc.titleThe estimation of reservation wages: A simulation-based comparison-
dc.typeWorking Paperen
dc.identifier.ppn715303546en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:hwwirp:124en

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