School-to-work transitions in Europe: Paths towards a permanent contract
In a context of intensive and global economic competition, European countries are growingly concerned with the consequences of increasing numbers of young people temporarily or permanently prevented from entering the job market and the difficulties faced by college and university graduates to find adequate employment. This study is concerned with analyzing the speed of transition of students to permanent employment as a proxy of professional stability, and by identifying possible discriminatory effects in selected countries. The research questions are addressed with a Cox survival model and a continuous-time Markov chain model where each individual can transit non-sequentially between the following Markov states: (1) education; (2) inactivity; (3)unemployment; (4) fixed-term/temporary employment; and (5) permanent employment (the 5th state being a non-absorbing steady state). The model is tested using the longitudinal ECHP data in thirteen EU member countries, over the period 1994-2001, controlling for individual and household characteristics and labour market characteristics (e.g., youth employment rate and share of temporary contracts). Overall, we find that the Mediterranean countries are the ones where the transition is the most hazardous both in terms of length and number of steps, but that in other countries, the speed of convergence is not necessarily correlated to the number of spells at intermediate states. Moreover, we find that the gender discrimination that affected most of the countries at the beginning of the 1990s, faded away by the end of the decade, replaced by a positive discrimination in favour of the graduates from vocationally oriented programmes.
|Date of creation:||2011|
|Publication status:||Published in JRC Scientific and Technical Reports 2011.JRC 67(2011): pp. 1-52|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Zvi Eckstein & Kenneth I. Wolpin, 1995.
"Duration to First Job and the Return to Schooling: Estimates from a Search-Matching Model,"
Review of Economic Studies,
Oxford University Press, vol. 62(2), pages 263-286.
- Eckstein, Z. & Wolpin, K.I., 1992. "Duration to First Job and the Return to Schooling : Estimates form a Search -Matching Model," Papers 13-92, Tel Aviv.
- Quintini, Glenda & Martin, John P. & Martin, Sébastien, 2007. "The Changing Nature of the School-to-Work Transition Process in OECD Countries," IZA Discussion Papers 2582, Institute for the Study of Labor (IZA).
- Bosch, Mariano & Maloney, William F., 2010. "Comparative analysis of labor market dynamics using Markov processes: An application to informality," Labour Economics, Elsevier, vol. 17(4), pages 621-631, August.
- Bosch, Mariano & Maloney, William F., 2007. "Comparative Analysis of Labor Market Dynamics Using Markov Processes: An Application to Informality," IZA Discussion Papers 3038, Institute for the Study of Labor (IZA).
- Bosch, Mariano & Maloney, William, 2007. "Comparative analysis of labor market dynamics using markov processes : an application to informality," Policy Research Working Paper Series 4429, The World Bank.
- Devine, Theresa J. & Kiefer, Nicolas M., 1991. "Empirical Labor Economics: The Search Approach," OUP Catalogue, Oxford University Press, number 9780195059366.
- Voicu, Alexandru, 2005. "Employment dynamics in the Romanian labor market. A Markov chain Monte Carlo approach," Journal of Comparative Economics, Elsevier, vol. 33(3), pages 604-639, September.
- Voicu, Alexandru, 2002. "Employment Dynamics in the Romanian Labor Market: A Markov Chain Monte Carlo Approach," IZA Discussion Papers 438, Institute for the Study of Labor (IZA).
- Alexandru Voicu, 2002. "Employment Dynamics in the Romanian Labor Market. A Markov Chain Monte Carlo Approach," Computing in Economics and Finance 2002 349, Society for Computational Economics.