Returns to Schooling in Europe: Evidence From Quantile Regression on EU-SILC Data
AbstractIn this paper the effects of schooling on wage inequality across a group of European countries are examined. Using the latest available EU-SILC dataset, a positive relation between these two variables is found across the whole distribution by means of a quantile regression (QR) approach. Such effect is stronger effect at the highest quantiles than at the lowest. This result corroborates the possibility of an increase in the wage dispersion when higher educational attainments are achieved and it is found to be rather robust as showed by linear hypothesis tests. Finally, the country-specific results highlight that the OLS technique misleads relevant information over cross-countries heterogeneity in the impact of education on within group inequality at different points of the wage distribution compared to the QR approach. Journal: Journal of Knowledge Management, Economics and Information Technology
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Bibliographic InfoArticle provided by ScientificPapers.org in its journal Journal of Knowledge Management, Economics and Information Technology.
Volume (Year): 2 (2012)
Issue (Month): 5 (October)
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Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
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