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A Quantitative Evaluation of Payroll Tax Subsidies For Low-Wage Workers: An Equilibrium Search Approach

  • Arnaud Chéron

    (GAINS - UM - Université du Maine)

  • Jean-Olivier Hairault

    ()

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, EEP-PSE - Ecole d'Économie de Paris - Paris School of Economics)

  • François Langot

    (PSE - Paris-Jourdan Sciences Economiques - CNRS - Centre National de la Recherche Scientifique - EHESS - École des hautes études en sciences sociales - ENS Paris - École normale supérieure - Paris - École des Ponts ParisTech (ENPC))

Phelps (1994) presented the case for a low-wage subsidy policy. Since the mid-1990s, France has experimented with this strategy. This paper evaluates the e®ect of this policy on employment and also on output and welfare. We construct an equilibrium search model incorporating wage posting and specific human capital investment, where unemployment and the distribution of both wages and productivity are endogenous. We estimate this model using French data. Numerical simulations show that the prevailing minimum wage allows a high production level to be reached by increasing training investment, even though the optimal minimum wage is lower. We show that payroll tax subsidies enhance welfare more than a reduction in the minimum wage when they are spread over a large range of wages in order to avoid specialization in low productivity jobs.

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Paper provided by HAL in its series Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) with number halshs-00270295.

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Date of creation: 2008
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Publication status: Published in Journal of Public Economics, Elsevier, 2008, 92 (3-4), pp.817-843. <10.1016/j.jpubeco.2007.09.012>
Handle: RePEc:hal:cesptp:halshs-00270295
DOI: 10.1016/j.jpubeco.2007.09.012
Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00270295
Contact details of provider: Web page: https://hal.archives-ouvertes.fr/

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