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Comparing the Effect of Labor Market Institutions on Employment Dynamics

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  • Eva Moreno-Galbis

Abstract

Our paper seeks to gain insights into the effects of labor-market institutions on the dynamics of the labor market, during the diffusion process of new technologies. Because these institutions differ between Europe and the United States, we expect the dynamics of the labor market to also diverge between both areas. We propose an endogenous job-destruction matching framework, with heterogeneous workers, where the segmentation of the labor market between workers having the required ability to do a technological job and the rest of the workers is endogenous. We show that the dynamics of this segmentation depends on the generosity of the unemployment-benefit system. When the system is generous, we obtain a U-shaped path of the labor-market segmentation, implying that workers that previously had access to technological positions may be excluded from them at a given moment of time. The presence of firing costs tends to improve job stability, but its final effect on the market tightness and unemployment rates is minor.

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  • Eva Moreno-Galbis, 2009. "Comparing the Effect of Labor Market Institutions on Employment Dynamics," Annals of Economics and Statistics, GENES, issue 95-96, pages 141-166.
  • Handle: RePEc:adr:anecst:y:2009:i:95-96:p:141-166
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    Cited by:

    1. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2013. "Labour Market Segmentation, Clusters, Mobility and Unemployment Duration with Individual Microdata," MPRA Paper 46003, University Library of Munich, Germany.
    2. Carlos Usabiaga & Fernando Núñez & Pablo Álvarez de Toledo, 2013. "Segmentación del mercado de trabajo, clusters, movilidad y duración de desempleo con datos individuales," Economic Working Papers at Centro de Estudios Andaluces E2013/02, Centro de Estudios Andaluces.
    3. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2014. "An empirical approach on labour segmentation. Applications with individual duration data," Economic Modelling, Elsevier, vol. 36(C), pages 252-267.

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