Labor Market Policy Evaluation with Ace

26 Pages Posted: 20 Jul 2006

See all articles by Michael Neugart

Michael Neugart

Technical University of Darmstadt

Date Written: July 2006

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

JEL Classification: C63, J61, J68

Suggested Citation

Neugart, Michael, Labor Market Policy Evaluation with Ace (July 2006). Available at SSRN: https://ssrn.com/abstract=917807 or http://dx.doi.org/10.2139/ssrn.917807

Michael Neugart (Contact Author)

Technical University of Darmstadt ( email )

Hochschulstra├če 1
Darmstadt, 64289
Germany

HOME PAGE: http://www.vwl3.wi.tu-darmstadt.de

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