Education and Long-Term Unemployment
This paper investigates the relationship between education and long-term unemployment when considering regional economic differences and other relevant variables at the individual and at the local level, using data from the 2004-2006 EU-SILC (11 countries). The analysis has been run using both a binary logit model and a binary scobit model. Our results suggest that the probability of an individual to be in long-term unemployment decreases with her educational level. There is a decrease in returns to education after the age of 40, which confirms the assumption of an obsolescence of skills defended in the human capital literature. With regard to the regional settings, younger workers (20-30) and older workers (50-65) tend to benefit more from the dynamics offered by highly competitive regions.
|Date of creation:||2010|
|Date of revision:|
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Web page: https://mpra.ub.uni-muenchen.de
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