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Neural Network And Segmented Labour Market

Author

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  • Patrice Gaubert

    (MATISSE - UMR 8595 - Modélisation Appliquée, Trajectoires Institutionnelles et Stratégies Socio-Économiques - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Marie Cottrell

    (MATISSE - UMR 8595 - Modélisation Appliquée, Trajectoires Institutionnelles et Stratégies Socio-Économiques - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, SAMOS - Statistique Appliquée et MOdélisation Stochastique - UP1 - Université Paris 1 Panthéon-Sorbonne)

Abstract

In France, for administrative reasons, unemployed workers may actually be involved in occasional work while remaining identified as unemployed (and receiving the corresponding benefit). This is due to the fact that the unemployed are deemed to be seeking full-time jobs and non-fixed term contracts of employment. This situation may be analysed as evidence of a special type of secondary segment of the labour market in a context of massive unemployment. The authors consider the effects of this situation both on the duration of unemployment and its recurrence may be usefully investigated.

Suggested Citation

  • Patrice Gaubert & Marie Cottrell, 1999. "Neural Network And Segmented Labour Market," Post-Print hal-00134146, HAL.
    • Handle: RePEc:hal:journl:hal-00134146
    Note: View the original document on HAL open archive server: https://hal.science/hal-00134146
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    Cited by:

    1. Muriel Perez, 2003. "La prévision de défaillance des PME : une application neuronale sur données qualitatives," Post-Print halshs-00522136, HAL.
    2. Marie Cottrell & Patrice Gaubert, 2000. "Classification Of Recurring Unemployed Workers And Unemployment Exits," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00134148, HAL.

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