Post-secondary education in Canada: can ability bias explain the earnings gap between college and university graduates?
AbstractUsing the Canadian General Social Survey we compute returns to post-secondary education relative to high school. Unlike previous research using Canadian data, our data set allows us to control for ability selection into higher education. We find strong evidence of positive ability selection into all levels of post-secondary education for men and weaker positive selection for women. Since the ability selection is stronger for higher levels of education, particularly for university, the difference in returns between university and college or trades education decreases slightly after accounting for ability bias. However, a puzzling large gap persists, with university-educated men still earning over 20% more than men with college or trades education.
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Bibliographic InfoArticle provided by Canadian Economics Association in its journal Canadian Journal of Economics.
Volume (Year): 42 (2009)
Issue (Month): 3 (August)
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Postal: Canadian Economics Association Prof. Steven Ambler, Secretary-Treasurer c/o Olivier Lebert, CEA/CJE/CPP Office C.P. 35006, 1221 Fleury Est Montréal, Québec, Canada H2C 3K4
Web page: http://economics.ca/cje/
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Other versions of this item:
- Caponi, Vincenzo & Plesca, Miana, 2007. "Post-Secondary Education in Canada: Can Ability Bias Explain the Earnings Gap Between College and University Graduates?," IZA Discussion Papers 2784, Institute for the Study of Labor (IZA).
- Vincenzo Caponi & Miana Plesca, 2007. "Post-Secondary Education in Canada: Can Ability Bias Explain the Earnings Gap Between College and University Graduates?," Working Paper Series 14-07, The Rimini Centre for Economic Analysis, revised Jul 2007.
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- I2 - Health, Education, and Welfare - - Education
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
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