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$^\circ$ 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

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).

Copyright EDP Sciences

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.