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Endogenous matching functions: an agent-based computational approach

Neugart, Michael (2004)
Endogenous matching functions: an agent-based computational approach.
In: Advances in Complex Systems, 7 (2)
doi: 10.1142/S0219525904000147
Article, Bibliographie

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Abstract

The matching function has become a popular tool in labor economics. It relates job creation (a flow variable) to two stock variables: vacancies and job searchers. In most studies the matching function is considered to be exogenous and assumed to have certain properties. The present study, instead, looks at the properties of an endogenous matching function. For this purpose we have programmed an agent-based computational labor market model with endogenous job creation and endogenous job search behavior. Our~simulations suggest that 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. Moreover, 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 that employ exogenous matching functions.

Item Type: Article
Erschienen: 2004
Creators: Neugart, Michael
Type of entry: Bibliographie
Title: Endogenous matching functions: an agent-based computational approach
Language: English
Date: 2004
Place of Publication: Singapur
Publisher: World Scientific
Journal or Publication Title: Advances in Complex Systems
Volume of the journal: 7
Issue Number: 2
DOI: 10.1142/S0219525904000147
URL / URN: https://www.worldscientific.com/toc/acs/07/02
Corresponding Links:
Abstract:

The matching function has become a popular tool in labor economics. It relates job creation (a flow variable) to two stock variables: vacancies and job searchers. In most studies the matching function is considered to be exogenous and assumed to have certain properties. The present study, instead, looks at the properties of an endogenous matching function. For this purpose we have programmed an agent-based computational labor market model with endogenous job creation and endogenous job search behavior. Our~simulations suggest that 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. Moreover, 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 that employ exogenous matching functions.

Uncontrolled Keywords: Endogenous matching function, labor market models, agent-based computational model
Additional Information:

also published in: R. Leombruni and M. Richiardi (eds.), Industry and labor dynamics, the agent-based computational economics approach, Proceedings of the wild@ace\-2003 workshop, World Scientific, New Jersey, pp. 90-106,2004)

Divisions: 01 Department of Law and Economics
01 Department of Law and Economics > Volkswirtschaftliche Fachgebiete
01 Department of Law and Economics > Volkswirtschaftliche Fachgebiete > Fachgebiet Finanzwissenschaft und Wirtschaftspolitik
Date Deposited: 27 Mar 2012 12:46
Last Modified: 18 Jul 2024 10:12
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