Free Access
| Issue |
E.J.E.S.S.
Volume 13, Number 1, 1999
|
|
|---|---|---|
| Page(s) | 19 - 39 | |
| DOI | https://doi.org/10.1051/ejess:1999101 | |
DOI: 10.1051/ejess:1999101
European Journal of Economic and Social Systems 13 N
1 (1999) pp. 19-39
Neural network and segmented labour market
Patrice Gaubert1 and Marie Cottrell2
1CRIFES-MATISSE, Université Paris I, Maison des Sciences Economiques, 106-112 Boulevard de
l'Hôpital, 75013 Paris, France
2SAMOS-MATISSE, Université Paris I, 90, rue de Tolbiac, 75634 Paris Cedex 13, France
Abstract:
Basically labour market segmentation is described as compris-ing
a primary and a secondary segment, differentiated mainly by job types: perma-nent
in the primary segment, precarious in the secondary one. In France, for
administrative reasons, unemployed workers may actually be involved in occa-sional
work while remaining identified as unemployed (and receiving the corre-sponding
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. In this paper, the authors investigate
the effects of this situation both on the duration of unemployment and its recur-rence.
These questions are analysed using a Kohonen network, to classify the
unemployed. The data are drawn from the register of unemployed kept by the
Government Employment Service (ANPE).
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