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Economic transition, gender bias, and the distribution of earnings in China

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  • John A. Bishop
  • Feijun Luo
  • Fang Wang

Abstract

Market‐oriented economic reform, which accelerated after 1992, has brought substantial changes to the Chinese economy. This dramatic economic transition was raised two important questions: ‘How are women faring in the transition from a planned economy to a market economy?’ and ‘Are some women faring relatively better than other women’? We use data from the Chinese Household Income Projects for the years 1988 and 1995, a standard earnings equation, and quantile regressions to estimate and decompose the earnings gap. Our findings suggest that while the earnings gap has increased, the fraction of the gap ‘unexplained’ by differences in human capital variables such as education and experience has declined over time. This result is particularly pronounced for low earning women.

Suggested Citation

  • John A. Bishop & Feijun Luo & Fang Wang, 2005. "Economic transition, gender bias, and the distribution of earnings in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 239-259, April.
    • Handle: RePEc:bla:etrans:v:13:y:2005:i:2:p:239-259
    DOI: 10.1111/j.1468-0351.2005.00218.x
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    References listed on IDEAS

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    1. 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.
    2. Meng,Xin, 2009. "Labour Market Reform in China," Cambridge Books, Cambridge University Press, number 9780521121118.
    3. Mueller, Richard E., 1998. "Public-private sector wage differentials in Canada: evidence from quantile regressions," Economics Letters, Elsevier, vol. 60(2), pages 229-235, August.
    4. Dong, Xiao-yuan & Bowles, Paul, 2002. "Segmentation and discrimination in China's emerging industrial labor market," China Economic Review, Elsevier, vol. 13(2-3), pages 170-196.
    5. Khan, Azizur Rahman & Riskin, Carl, 2001. "Inequality and Poverty in China in the Age of Globalization," OUP Catalogue, Oxford University Press, number 9780195136494, Decembrie.
    6. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    7. Jenkins, Stephen P., 1994. "Earnings discrimination measurement : A distributional approach," Journal of Econometrics, Elsevier, vol. 61(1), pages 81-102, March.
    8. Eric R. Eide & Mark H. Showalter & David P. Sims, 2002. "The Effects Of Secondary School Quality On The Distribution Of Earnings," Contemporary Economic Policy, Western Economic Association International, vol. 20(2), pages 160-170, April.
    9. Maurer-Fazio, Margaret & Hughes, James, 2002. "The Effects of Market Liberalization on the Relative Earnings of Chinese Women," Journal of Comparative Economics, Elsevier, vol. 30(4), pages 709-731, December.
    10. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    11. Xin Meng & Junsen Zhang & Pak-Wai Liu, 2000. "Sectoral gender wage differentials and discrimination in the transitional Chinese economy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 331-352.
    12. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    13. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    14. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    15. Bishop, John A. & Chiou, Jong-Rong, 2004. "Economic transformation and earnings inequality in China and Taiwan," Journal of Asian Economics, Elsevier, vol. 15(3), pages 549-562, June.
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