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Parametric and Nonparametric Inference in Equilibrium Job Search Models

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posted on 2009-08-12, 13:16 authored by Gary Koop
Equilibrium 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.

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Publisher

Dept. of Economics, University of Leicester

Available date

2009-08-12

Publisher version

http://www.le.ac.uk/economics/research/discussion/papers2004.html

Book series

Papers in Economics;04/14

Language

en

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