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Returns to Human Capital and Wage Inequality: The Case of Taiwan

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  • Yih-chyi Chuang and Wei-wen Lai

    (National Chengchi University, Chung-Hua Institution for Economic Research)

Abstract

To compare with the literature on Taiwan study of wage inequality by the turn of Twenty-First Century, using Taiwan¡¯s 1978-2003 Manpower Utilization Survey data, this paper estimates the trends of returns to education and experience and investigates the relationship between returns to human capital, ability, and wage inequality. Over the period, return to higher education has an increasing trend while the wage inequality reveals a declining tendency, a phenomenon also contradicted to existing literature, e.g., Castello-Climent and Domenech (2014). Using quantile regression, we further discover the relations between human capital accumulation and unobserved ability, i.e., education and ability are substitutes while experience and ability tend to complement each other. Education enables those less able people to improve upon their disadvantages and thus improve wage inequality. Moreover, wage inequality is lower in females than in males for every educational level and more experienced groups. Contrary to the existing literature, Taiwan¡¯s empirical study demonstrates that the increasing employment share of more educated workers and/or females will improve instead of worsen wage inequality. Policy implications are also discussed based on Taiwan¡¯s experience.

Suggested Citation

  • Yih-chyi Chuang and Wei-wen Lai, 2017. "Returns to Human Capital and Wage Inequality: The Case of Taiwan," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 42(3), pages 61-88, September.
  • Handle: RePEc:jed:journl:v:42:y:2017:i:3:p:61-88
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    1. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. repec:bla:rdevec:v:5:y:2001:i:2:p:336-54 is not listed on IDEAS
    3. Been‐Lon Chen & Mei Hsu, 2001. "Time‐Series Wage Differential in Taiwan: The Role of International Trade," Review of Development Economics, Wiley Blackwell, vol. 5(2), pages 336-354, June.
    4. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    5. Lin, Chun-Hung A. & Orazem, Peter, 2003. "Wage Inequality and Returns to Skill in Taiwan, 1978-1996," Staff General Research Papers Archive 10350, Iowa State University, Department of Economics.
    6. Joop Hartog & Pedro Pereira & Jose Vieira, 2001. "Changing returns to education in Portugal during the 1980s and early 1990s: OLS and quantile regression estimators," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 1021-1037.
    7. 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.
    8. Francine D. Blau & Lawrence Kahn, 1995. "The Gender Earnings Gap: Some International Evidence," NBER Chapters, in: Differences and Changes in Wage Structures, pages 105-144, National Bureau of Economic Research, Inc.
    9. Chun-Hung Lin & Peter Orazem, 2003. "Wage Inequality and Returns to Skill in Taiwan, 1978-96," Journal of Development Studies, Taylor & Francis Journals, vol. 39(5), pages 89-108.
    10. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    11. Pedro Telhado Pereira & Pedro Silva Martins, 2000. "Does education reduce wage inequality? Quantile regressions evidence from fifteen European countries," Nova SBE Working Paper Series wp379, Universidade Nova de Lisboa, Nova School of Business and Economics.
    12. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    13. Saavedra,Luz A., 2001. "Female wage inequality in Latin American labor markets," Policy Research Working Paper Series 2741, The World Bank.
    14. Mwabu, Germano & Schultz, T Paul, 1996. "Education Returns across Quantiles of the Wage Function: Alternative Explanations for Returns to Education by Race in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 335-339, May.
    15. Yih-chyi Chuang & Chen-Yeng Chao, 2001. "Educational choice, wage determination, and rates of return to education in Taiwan," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 7(4), pages 479-504, November.
    16. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    17. James Heckman & Lance Lochner & Christopher Taber, 1998. "Explaining Rising Wage Inequality: Explanations With A Dynamic General Equilibrium Model of Labor Earnings With Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(1), pages 1-58, January.
    18. O'Neill, June & Polachek, Solomon, 1993. "Why the Gender Gap in Wages Narrowed in the 1980s," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 205-228, January.
    19. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    20. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    21. Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-846, September.
    22. John Cawley & James Heckman & Edward Vytlacil, 1998. "Understanding the Role of Cognitive Ability in Accounting for the Recent Rise in the Economic Return to Education," NBER Working Papers 6388, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Livini Donath & Oliver Morrissey & Trudy Owens, 2021. "Does the pay period matter in estimating returns to schooling? Evidence from East Africa," Discussion Papers 2021-01, University of Nottingham, CREDIT.

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    More about this item

    Keywords

    Education; Experience; Returns to Human Capital; Wage Inequality;
    All these keywords.

    JEL classification:

    • 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

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