Labor market policy evaluation with an agent-based model

Michael Neugart

MPRA Paper from University Library of Munich, Germany

Abstract: I develop an agent-based computational economics (ACE) model with which I evaluate the aggregate impact of labor market policies. The findings are that government-financed training measures increase the outflow rate from unemployment to employment. Although the overall effect is positive this effect is achieved by reducing the outflow rate for those who do not receive subsidies. Furthermore, the outflow rate would have been downward-biased had one supposed a matching function that is exogenous to policies.

Keywords: Labor market policy evaluation; agent-based computational model; endogenous matching function; job displacement (search for similar items in EconPapers)
JEL-codes: C63 J60 J68 (search for similar items in EconPapers)
Date: 2006-06
New Economics Papers: this item is included in nep-cmp and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Working Paper: Labor market policy evaluation with an agent-based model (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:4726

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