“Who is Confronted to Insecure Labor Market Histories ? Some Evidence Based on the French Labor Market Transitions”
AbstractThis paper presents some empirical evidence on the French labor market focusing on transitionsbetween stable jobs, temporary work, unemployment and non-participation. The model used is basedon a Markov chain mixture which allows one to distinguish labor market histories that are confined tocontingent work and non-employment from the non-confined ones. This enables us to identify,quantify and characterize (conditional on observable characteristics) the workers who never accede tostable jobs and remain stuck to temporary jobs and non-employment spells. We consider quarterlylabor market transitions, observed from 2003 to 2006 in the Labor Force survey (LFS). We find thaton the whole, about 5% of the working age population experience confined transition dynamics : theycannot access to stable jobs. Confined workers are less educated and are more likely to live indistressed areas.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2008-34.
Date of creation: 2008
Date of revision:
Other versions of this item:
- M. Beffy & É. Coudin & R. Rathelot, 2008. "Who is confronted to insecure labor market histories? Some evidence based on the French labor market transition," Documents de Travail de la DESE - Working Papers of the DESE g2008-10, Institut National de la Statistique et des Etudes Economiques, DESE.
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
- J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Florian Sallaberry).
If references are entirely missing, you can add them using this form.