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Centre for Employment Studies
Endogenous
matching functions:
An agent-based computational approach
(download)
Michael Neugart *
Abstract
The
matching function has become a popular tool in labor economics. It
relates job creation – a flow variable – to two stock vari-ables:
vacancies and job searchers. In most studies the matching function is
exogenous and assumed to fulfill certain properties. This study looks
at the properties of an endogenous matching function. For that purpose
we program an agent-based-computational labor market model with
endogenous job creation and endogenous job search be-havior. Our
simulations suggest that job creation is increasing in the number of
job searchers and vacancies. The endogenous matching technology is
subject to decreasing returns to scale. The Beveridge curve reveals
substitutability of job searchers and vacancies for a small range of
inputs but is flat for relatively high numbers of job searchers and
vertical for relatively high numbers of vacancies. It occurs that the
matching technology changes with labor market policies. This raises
concerns about the validity of labor market policy evaluations
conducted with flow models of the labor market employing exogenous
matching functions.
Keywords: Endogenous matching
functions, agent-based-computational
labor market
* Chemnitz
University of Technology, Department of Economics
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