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Chapitre D'ouvrage Année : 1999

Forecasting Methodology for Qualification and Training Needs in France

Résumé

The present publication is the first outcome of the European project "Labouratory" which aims at elaborating forecasting methodology applicable in the transition countries of Central Europe. This paper takes stock of the labour market data and methods used to forecast education and training needs in France : at the national level, only one institute (BIPE) suggests a model for calculating recruitement needs according to professional categories ; on the sectoral level, roughly twenty professional branches carried out forecasting study contracts ; OREF Bourgogne works at the regional level with available data national statistics in composition with qualitative school and company surveys, broadly applying networking and dialogue with social partners.
Cette première publication du projet européen "Labouratory" recense, dans chacun des pays concernés (Allemagne, France, Irlande, Pays-Bas, Pologne, République Tchèque, Slovénie), les outils d'analyse des besoins en qualification des entreprises : apports, insuffisances, études comparatives. Les auteurs analysent plus particulièrement les données et les méthodes de prospective des métiers et des qualifications pour la France sur le plan national (les travaux du Bureau d'informations et de prévisions économiques, BIPE), sectoriel (les Contrats d'études prospectives, CEP) et local en soulignant la démarche de l'Observatoire régional emploi formation de Bourgogne (OREF).
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Dates et versions

hal-03267394 , version 1 (22-06-2021)

Identifiants

  • HAL Id : hal-03267394 , version 1

Citer

André Giffard, Christine Guégnard. Forecasting Methodology for Qualification and Training Needs in France. National observatory of vocational training and labour market. Forecasting Education and Training Needs in Transition Economies : Lessons from the Western European Experience, National Observatory of vocational training and labour market, pp.55-74, 1999, 80-211-0338-8. ⟨hal-03267394⟩
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