Overeducation wage penalty among Ph.D. holders: an unconditional quantile regression analysis on Italian data
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DOI: 10.1108/IJM-02-2021-0100
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- Gaeta, Giuseppe Lucio & Lubrano Lavadera, Giuseppe & Pastore, Francesco, 2018. "Overeducation Wage Penalty among Ph.D. Holders: An Unconditional Quantile Regression Analysis on Italian Data," IZA Discussion Papers 11325, Institute of Labor Economics (IZA).
- Gaeta, Giuseppe Lucio & Lubrano Lavadera, Giuseppe & Pastore, Francesco, 2018. "Overeducation wage penalty among Ph.D. holders. An unconditional quantile regression analysis on Italian data," GLO Discussion Paper Series 180, Global Labor Organization (GLO).
References listed on IDEAS
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- Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.
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More about this item
Keywords
Job–education mismatch; Overeducation; Wages; Ph.D. holders; Unconditional quantile regression; Italy; C26; I23; I26; J13; J24; J28;All these keywords.
JEL classification:
- C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
- I26 - Health, Education, and Welfare - - Education - - - Returns to Education
- J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
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