Unemployment, selective employment measures and inter-regional mobility of labour
AbstractThis article examines the impact of selective employment measures on the subsequent migration behaviour of the participants. We hypothesise that employment measures targeted at high unemployment regions may discourage out-migration of the unemployed. Since the possible locking-in effect mainly influences those with the weakest employment prospects, selective employment measures may impede the adjustment process of regional labour markets. Results suggest that employment measures reduce the mobility of the unemployed, but only during an era of low unemployment when the employment prospects in potential destination regions are favourable. In an era of high unemployment, these measures are not likely to contribute to greater regional unemployment disparities. There is also large variation in the locking-in effects across different employment programmes and specific groups of job seekers.
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Bibliographic InfoArticle provided by Springer in its journal Papers in Regional Science.
Volume (Year): 81 (2002)
Issue (Month): 4 ()
Note: Received: 6 December 1999
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Web page: http://link.springer.de/link/service/journals/10110/index.htm
Find related papers by JEL classification:
- J62 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Job, Occupational and Intergenerational Mobility; Promotion
- J68 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Public Policy
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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- Brian Cushing & Jacques Poot, 2003.
"Crossing boundaries and borders: Regional science advances in migration modelling,"
Economics of Governance,
Springer, vol. 83(1), pages 317-338, October.
- Brian Cushing & Jacques Poot, 2003. "Crossing boundaries and borders: Regional science advances in migration modelling," Papers in Regional Science, Springer, vol. 83(1), pages 317-338, October.
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