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Labor market policy evaluation with an agent-based model Author info | Abstract | Publisher info | Download info | Related research | Statistics Neugart, Michael
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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.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
4726.
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Date of creation: Jun 2006Date of revision:
Handle: RePEc:pra:mprapa:4726Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany Phone: +49-(0)89-2180-2219 Fax: +49-(0)89-2180-3900 Web page: http://mpra.ub.uni-muenchen.de More information through EDIRC
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Keywords: Labor market policy evaluation ; agent-based computational model ; endogenous matching function ; job displacement ; Other versions of this item:
Find related papers by JEL classification: J60 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - General C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques J68 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Public Policy
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