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Does vocational education pay off in China? Instrumental-variable quantile-regression evidence

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  • Dai, Li
  • Martins, Pedro S.

Abstract

As China's firms upgrade their position in the quality ladder, vocational education may become more important. In this paper, we study returns to secondary vocational education in China paying attention to individual heterogeneity. We use instrumental variables based on geographical and longitudinal changes in enrolment to address the selection between the two types of education. We find that vocational education provides a wage premium vis-à-vis academic education of over 30% but which applies only for individuals at the middle of the conditional wage distribution.

Suggested Citation

  • Dai, Li & Martins, Pedro S., 2020. "Does vocational education pay off in China? Instrumental-variable quantile-regression evidence," GLO Discussion Paper Series 495, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:495
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    1. Lin, Justin Y & Wang, Gewei & Zhao, Yaohui, 2004. "Regional Inequality and Labor Transfers in China," Economic Development and Cultural Change, University of Chicago Press, vol. 52(3), pages 587-603, April.
    2. Pedro Carneiro & Kai Liu & Kjell G. Salvanes, 2018. "The supply of skill and endogenous technical change: evidence from a college expansion reform," CeMMAP working papers CWP42/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    4. Esther Duflo, 2001. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
    5. Eric A. Hanushek & Ludger Woessmann, 2005. "Does Educational Tracking Affect Performance and Inequality? Differences-in-Differences Evidence across Countries," CESifo Working Paper Series 1415, CESifo.
    6. Lorenzo Cappellari, 2004. "High school types, academic performance and early labour market outcomes," CHILD Working Papers wp03_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    7. Oosterbeek, Hessel & Webbink, Dinand, 2007. "Wage effects of an extra year of basic vocational education," Economics of Education Review, Elsevier, vol. 26(4), pages 408-419, August.
    8. Wenjing Duan & Pedro S. Martins, 2018. "Rent sharing in China: Magnitude, heterogeneity and drivers," Working Papers 96, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    9. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
    10. Lorraine Dearden & Javier Ferri & Costas Meghir, 2002. "The Effect Of School Quality On Educational Attainment And Wages," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 1-20, February.
    11. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    12. Yao Amber Li & John Whalley & Shunming Zhang & Xiliang Zhao, 2011. "The Higher Educational Transformation of China and Its Global Implications," The World Economy, Wiley Blackwell, vol. 34(4), pages 516-545, April.
    13. Josef Fersterer & Jörn‐Steffen Pischke & Rudolf Winter‐Ebmer, 2008. "Returns to Apprenticeship Training in Austria: Evidence from Failed Firms," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(4), pages 733-753, December.
    14. repec:fth:prinin:317 is not listed on IDEAS
    15. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    16. Giorgio Brunello & Lorenzo Rocco, 2015. "The effects of vocational education on adult skills and wages: What can we learn from PIAAC?," OECD Social, Employment and Migration Working Papers 168, OECD Publishing.
    17. Meer, Jonathan, 2007. "Evidence on the returns to secondary vocational education," Economics of Education Review, Elsevier, vol. 26(5), pages 559-573, October.
    18. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    19. Dai, Fengyan & Cai, Fang & Zhu, Yu, 2018. "Returns to Higher Education in China: Evidence from the 1999 Higher Education Expansion Using Fuzzy Regression Discontinuity," IZA Discussion Papers 11735, Institute of Labor Economics (IZA).
    20. repec:cep:cverdp:002 is not listed on IDEAS
    21. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    22. Werner Eichhorst & Núria Rodríguez-Planas & Ricarda Schmidl & Klaus F. Zimmermann, 2015. "A Road Map to Vocational Education and Training in Industrialized Countries," ILR Review, Cornell University, ILR School, vol. 68(2), pages 314-337, March.
    23. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
    24. Kathryn Wilson & Barbara Wolfe & Robert Haveman, 2005. "The Role of Expectations in Adolescent Schooling Choices: Do Youths Respond to Economic Incentives?," Economic Inquiry, Western Economic Association International, vol. 43(3), pages 467-492, July.
    25. Masako Ota & Peter Moffatt, 2007. "The within-household schooling decision: a study of children in rural Andhra Pradesh," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 223-239, February.
    26. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
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    Cited by:

    1. Chen, Jie & Pastore, Francesco, 2021. ""Study hard and make progress every day": Updates on returns to education in China," GLO Discussion Paper Series 787, Global Labor Organization (GLO).

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    More about this item

    Keywords

    Human capital; vocational education; quantile treatment effects;
    All these keywords.

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • 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
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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