Free Access
Volume 13, Number 1, 1999
Page(s) 19 - 39
DOI: 10.1051/ejess:1999101

European Journal of Economic and Social Systems 13 N$^\circ$ 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


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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