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Accès à la formation continue en entreprise et caractéristiques des marchés locaux du travail

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Tous les salariés n'ont pas les mêmes chances d'accéder à la formation continue financée par leur entreprise. Le salarié pour qui cette probabilité est la plus élevée n'est novice ni dans son poste ni sur le marché du travail, occupe un emploi de cadre ou une profession intermédiaire dans une grande entreprise (plus de 500 salariés) de service ou du secteur industriel à haut niveau technologique. Ce salarié a plus d'une chance sur deux d'avoir suivi une formation financée par son entreprise au cours de l'année précédente, alors la moyenne est plus proche d'une chance sur quatre. Une fois ces caractéristiques du salarié et de la firme contrôlées, il reste des différences spatiales d'accès à la formation continue : il diminue lorsque la densité des marchés locaux du travail (mesurée à l'échelle de la zone d'emploi ou du département) augmente. Les meilleurs appariements sur le marché du travail et le turnover plus élevé sur les marchés denses seraient déterminants pour expliquer le moindre recours à la formation continue dans ces espaces. L'accès à la formation continue serait cependant moins fréquent pour les salariés des firmes rurales que pour ceux des firmes urbaines et le rôle négatif de la densité ne concernerait que les salariés urbains. Parmi ces derniers, les salariés des firmes des villes centres des plus grands pôles urbains auraient moins accès à la formation continue que ceux des autres communes urbaines.

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Paper provided by INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux in its series INRA UMR CESAER Working Papers with number 2008/1.

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Length: 16
Date of creation: 15 Mar 2008
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Handle: RePEc:ceo:wpaper:7
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  1. Edward L. Glaeser & David C. Mare, 1994. "Cities and Skills," NBER Working Papers 4728, National Bureau of Economic Research, Inc.
  2. Giorgio Brunello & Francesca Gambarotto, 2006. "Do Spatial Agglomeration and Local Labor Market Competition Affect Employer - Provided Training? Evidence from the UK," "Marco Fanno" Working Papers 0018, Dipartimento di Scienze Economiche "Marco Fanno".
  3. Pierre-Philippe Combes & Gilles Duranton, 2001. "Labor Pooling, Labor Poaching and Spatial Clustering," CEP Discussion Papers dp0510, Centre for Economic Performance, LSE.
  4. Brunello, Giorgio & De Paola, Maria, 2008. "Training and economic density: Some evidence form Italian provinces," Labour Economics, Elsevier, vol. 15(1), pages 118-140, February.
  5. Goux, Dominique & Maurin, Eric, 2000. "Returns to firm-provided training: evidence from French worker-firm matched data1," Labour Economics, Elsevier, vol. 7(1), pages 1-19, January.
  6. Lynch, Lisa M, 1992. "Private-Sector Training and the Earnings of Young Workers," American Economic Review, American Economic Association, vol. 82(1), pages 299-312, March.
  7. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171 Elsevier.
  8. Sylvie Charlot & Gilles Duranton, 2006. "Cities and Workplace Communication: Some Quantitative French Evidence," Urban Studies, Urban Studies Journal Limited, vol. 43(8), pages 1365-1394, July.
  9. Helsley, Robert W. & Strange, William C., 1990. "Matching and agglomeration economies in a system of cities," Regional Science and Urban Economics, Elsevier, vol. 20(2), pages 189-212, September.
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