Post-secondary education in Canada: can ability bias explain the earnings gap between college and university graduates?
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- 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, Rimini Centre for Economic Analysis.
- 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).
References listed on IDEAS
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Nakabayashi, Masaki, 2011.
"Schooling, employer learning, and internal labor market effect: Wage dynamics and human capital investment in the Japanese steel industry, 1930-1960s,"
30597, University Library of Munich, Germany.
- Nakabayashi, Masaki, 2011. "Schooling, employer learning, and internal labor market effect: Wage dynamics and human capital investment in the Japanese steel industry, 1930-1960s," MPRA Paper 30749, University Library of Munich, Germany, revised 06 May 2011.
- Luiza Antonie & Miana Plesca & Jennifer Teng, 2016. "Heterogeneity in the Gender Wage Gap in Canada," Working Papers 1603, University of Guelph, Department of Economics and Finance.
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"Estimating the Return to College in Britain Using Regression and Propensity Score Matching,"
CEIS, vol. 26(1), pages 31-45, March.
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- Strawinski, Pawel, 2008. "Changes in return to higher education in Poland 1998-2005," MPRA Paper 9533, University Library of Munich, Germany.
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More about this item
- 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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