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French unemployment: a transatlantic perspective

Author

Listed:
  • Daniel Cohen

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

  • Arnaud Lefranc

    (THEMA - Théorie économique, modélisation et applications - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique)

  • Gilles Saint-Paul

    (PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris sciences et lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

The paper compares the French and US labour markets. It shows that differences in unemployment rates are especially acute for young and old workers, but appear to be negligible for middle-aged workers. All French workers, however, experience job flows that are quite distinct from their American counterparts as they are exposed to long spells of infrequent unemployment, which is the opposite to the US case. Critical differences across ages and skills regarding the patterns of exit from and entry into employment are also displayed. The paper dispels the view that these differences originate from the behaviour of the unemployed (or the set of institutions that guide their decisions), and that this is new to the French labour market.

Suggested Citation

  • Daniel Cohen & Arnaud Lefranc & Gilles Saint-Paul, 1997. "French unemployment: a transatlantic perspective," Post-Print hal-01651774, HAL.
    • Handle: RePEc:hal:journl:hal-01651774
    DOI: 10.1111/1468-0327.00022
    as

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