Using Working Patterns as a Basis for Differentiating Part-Time Employment

Patrick Letrémy (), Christèle Meilland () and Marie Cottrel ()
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Patrick Letrémy: SAMOS - Statistique Appliquée et MOdélisation Stochastique - UP1 - Université Panthéon-Sorbonne, CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique
Christèle Meilland: Groupe Emploi - Ires
Marie Cottrel: SAMOS - Statistique Appliquée et MOdélisation Stochastique - UP1 - Université Panthéon-Sorbonne, CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique

European Journal of Economic and Social Systems, 2004, vol. 17, issue 1-2, 29-40

Abstract: Seeking to determine which working patterns have a specific effect on part-time work, in 1998-99 France's INSEE statistical agency carried out a Timetable survey that questioned the homogeneity of this form of employment (again in terms of the working patterns upon which it is based). A neuronal method was used to classify an entire sample of part-time employees according to their weekly working patterns ­ the end result being that part-time work was shown to be a very heterogeneous form of employment. This was not only reflected by the existence of many different groups of part-time employees, each with highly differentiated individual and professional characteristics, but also (and above all) by the diversity of their weekly working patterns.

Keywords: Kohonen Maps; Working Time; Classifications (search for similar items in EconPapers)
JEL-codes: J21 (search for similar items in EconPapers)
Date: 2004
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