Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/4633
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dc.contributor.authorKoop, Gary-
dc.date.accessioned2009-08-12T13:16:17Z-
dc.date.available2009-08-12T13:16:17Z-
dc.date.issued2002-08-
dc.identifier.urihttp://www.le.ac.uk/economics/research/discussion/papers2004.htmlen_GB
dc.identifier.urihttp://hdl.handle.net/2381/4633-
dc.description.abstractEquilibrium job search models allow for labor markets with homogenous workers and firms to yield nondegenerate wage densities. However, the resulting wage densities do not accord well with empirical regularities. Accordingly, many extensions to the basic equilibrium search model have been considered (e.g. heterogeneity in productivity, heterogeneity in the value of leisure, etc.). It is increasingly common to use nonparametric forms for these extensions and, hence, researchers can obtain a perfect fit (in a kernel smoothed sense) between theoretical and empirical wage densities. This makes it difficult to carry out model comparison of different model extensions. In this paper, we first develop Bayesian parametric and non-parametric methods which are comparable to the existing non-Bayesian literature. We then show how Bayesian methods can be used to compare various nonparametric equilibrium search models in a statistically rigorous sense.en_GB
dc.language.isoenen_GB
dc.publisherDept. of Economics, University of Leicesteren_GB
dc.relation.ispartofseriesPapers in Economicsen_GB
dc.relation.ispartofseries04/14en_GB
dc.titleParametric and Nonparametric Inference in Equilibrium Job Search Modelsen_GB
dc.typeReporten_GB
Appears in Collections:Reports, Dept. of Economics

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