IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v75y2013i3p435-454.html
   My bibliography  Save this article

How Does Education Affect the Earnings Distribution in Urban China?

Author

Listed:
  • Le Wang

Abstract

China's phenomenal growth is accompanied by both relatively low level of standards of living and high inequality. It is widely believe that investing in education could be an effective strategy to promote higher standards of living as well as to reduce inequality. However, little is known about whether this belief is empirically supported. To this end, we employ a recently developed distributional approach to estimate returns to education across the whole earnings distribution in urban China during economic transition. We find that returns to education are generally more pronounced for individuals in the lower tail of the earnings distribution than for those in the upper tail, in stark contrast to the results found in developed countries. Our result implies that education indeed reduces earnings inequality while increasing individuals' earnings. We also find that the returns to education are uniformly larger for women than for men across the distribution. The results suggest the presence of added effects of education on earnings, as opposed to productivity-enhancing effects, for disadvantaged groups. Finally, we find that rates of educational return increased over time for all parts of the earnings distribution.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Le Wang, 2013. "How Does Education Affect the Earnings Distribution in Urban China?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 435-454, June.
  • Handle: RePEc:bla:obuest:v:75:y:2013:i:3:p:435-454
    DOI: 10.1111/obes.2013.75.issue-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/10.1111/obes.2013.75.issue-3
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1111/obes.2013.75.issue-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Knight, John & Yueh, Linda, 2004. "Job mobility of residents and migrants in urban China," Journal of Comparative Economics, Elsevier, vol. 32(4), pages 637-660, December.
    2. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1.
    3. Dennis Tao Yang & Vivian Weijia Chen & Ryan Monarch, 2010. "Rising Wages: Has China Lost Its Global Labor Advantage?," Pacific Economic Review, Wiley Blackwell, vol. 15(4), pages 482-504, October.
    4. Ravi Kanbur & Xiaobo Zhang, 2005. "Fifty Years of Regional Inequality in China: a Journey Through Central Planning, Reform, and Openness," Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 87-106, February.
    5. Gustafsson,Björn A. & Shi,Li & Sicular,Terry (ed.), 2008. "Inequality and Public Policy in China," Cambridge Books, Cambridge University Press, number 9780521870450, October.
    6. Chong Huang & Hongbin Li & Pak Wai Liu & Junsen Zhang, 2009. "Why Does Spousal Education Matter for Earnings? Assortative Mating and Cross-Productivity," Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 633-652, October.
    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. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    9. Christopher Dougherty, 2005. "Why Are the Returns to Schooling Higher for Women than for Men?," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 969-988.
    10. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    11. repec:bla:pacecr:v:9:y:2004:i:3:p:155-171 is not listed on IDEAS
    12. Harmon, Colm & Hogan, Vincent & Walker, Ian, 2003. "Dispersion in the economic return to schooling," Labour Economics, Elsevier, vol. 10(2), pages 205-214, April.
    13. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    14. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    15. Trostel, Philip & Walker, Ian & Woolley, Paul, 2002. "Estimates of the economic return to schooling for 28 countries," Labour Economics, Elsevier, vol. 9(1), pages 1-16, February.
    16. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, September.
    17. 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.
    18. Fleisher, Belton M. & Sabirianova, Klara & Wang, Xiaojun, 2005. "Returns to skills and the speed of reforms: Evidence from Central and Eastern Europe, China, and Russia," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 351-370, June.
    19. Wang, Xiaojun & Fleisher, Belton M. & Li, Haizheng & Li, Shi, 2007. "Access to Higher Education and Inequality: The Chinese Experiment," IZA Discussion Papers 2823, Institute of Labor Economics (IZA).
    20. John Giles & Albert Park & Meiyan Wang, 2019. "The Great Proletarian Cultural Revolution, Disruptions to Education, and the Returns to Schooling in Urban China," Economic Development and Cultural Change, University of Chicago Press, vol. 68(1), pages 131-164.
    21. CHEN, Guifu & HAMORI, Shigeyuki, 2009. "Economic returns to schooling in urban China: OLS and the instrumental variables approach," China Economic Review, Elsevier, vol. 20(2), pages 143-152, June.
    22. Zhang, Junsen & Zhao, Yaohui & Park, Albert & Song, Xiaoqing, 2005. "Economic returns to schooling in urban China, 1988 to 2001," Journal of Comparative Economics, Elsevier, vol. 33(4), pages 730-752, December.
    23. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    24. John Gibson & Bonggeun Kim, 2007. "Measurement Error in Long-term Retrospective Recall Surveys Of Earnings," Working Papers in Economics 07/03, University of Waikato.
    25. Galvao Jr, A. F. & Montes-Rojas, G., 2009. "Instrumental variables quantile regression for panel data with measurement errors," Working Papers 09/06, Department of Economics, City University London.
    26. Fan, Shenggen & Kanbur, Ravi & Zhang, Xiaobo, 2008. "Regional Inequality In China: An Overview," Working Papers 51157, Cornell University, Department of Applied Economics and Management.
    27. Orley Ashenfelter & Cecilia Rouse, 1998. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 253-284.
    28. Hongbin Li & Pak Wai Liu & Ning Ma & Junsen Zhang, 2005. "Does Education Pay in Urban China? Estimating Returns to Education Using Twins," Discussion Papers 00013, Chinese University of Hong Kong, Department of Economics.
    29. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    30. Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
    31. Patrinos, Harry Anthony & Ridao-Cano, Cris & Sakellariou, Chris, 2006. "Estimating the returns to education : accounting for heterogeneity in ability," Policy Research Working Paper Series 4040, The World Bank.
    32. Schennach, Susanne M., 2008. "Quantile Regression With Mismeasured Covariates," Econometric Theory, Cambridge University Press, vol. 24(4), pages 1010-1043, August.
    33. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    34. Zhong Zhao, 2005. "Migration, Labor Market Flexibility, and Wage Determination in China: A Review," Labor and Demography 0507009, University Library of Munich, Germany.
    35. Fleisher, Belton M. & Hu, Yifan & Li, Haizheng & Kim, Seonghoon, 2011. "Economic transition, higher education and worker productivity in China," Journal of Development Economics, Elsevier, vol. 94(1), pages 86-94, January.
    36. Björn Gustafsson & Shi Li, 2000. "Economic transformation and the gender earnings gap in urban China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 305-329.
    37. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2007. "Inference approaches for instrumental variable quantile regression," Economics Letters, Elsevier, vol. 95(2), pages 272-277, May.
    38. Millimet Daniel L & Wang Le, 2006. "A Distributional Analysis of the Gender Earnings Gap in Urban China," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-50, February.
    39. repec:bla:pacecr:v:9:y:2004:i:3:p:191-207 is not listed on IDEAS
    40. Fleisher, Belton M. & Wang, Xiaojun, 2004. "Skill differentials, return to schooling, and market segmentation in a transition economy: the case of Mainland China," Journal of Development Economics, Elsevier, vol. 73(1), pages 315-328, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Le, 2012. "Economic transition and college premium in urban China," China Economic Review, Elsevier, vol. 23(2), pages 238-252.
    2. Hai Fang & Karen N. Eggleston & John A. Rizzo & Scott Rozelle & Richard J. Zeckhauser, 2012. "The Returns to Education in China: Evidence from the 1986 Compulsory Education Law," NBER Working Papers 18189, National Bureau of Economic Research, Inc.
    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. Vinod Mishra & Russell Smyth, 2012. "Returns to Schooling in Urban China: New Evidence Using Heteroskedasticity Restrictions to Obtain Identification Without Exclusion Restrictions," Monash Economics Working Papers 33-12, Monash University, Department of Economics.
    5. M Niaz Asadullah & Saizi Xiao, 2019. "Labor Market Returns to Education and English Language Skills in the People's Republic of China: An Update," Asian Development Review, MIT Press, vol. 36(1), pages 80-111, March.
    6. Wang, Le, 2013. "Estimating returns to education when the IV sample is selective," Labour Economics, Elsevier, vol. 21(C), pages 74-85.
    7. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    8. Lin Xiu & Morley Gunderson, 2013. "Credential Effects and the Returns to Education in China," LABOUR, CEIS, vol. 27(2), pages 225-248, June.
    9. Michael Chletsos & Stelios Roupakias, 2020. "Education and wage inequality before and during the fiscal crisis: A quantile regression analysis for Greece 2006–2016," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1333-1364, November.
    10. Andersson, Roland & Nabavi Larijani, Pardis & Wilhelmsson, Mats, 2013. "The impact of vocational education and training on income in Sweden," Working Paper Series 13/4, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    11. Lili Kang & Fei Peng, 2012. "A selection analysis of returns to education in China," Post-Communist Economies, Taylor & Francis Journals, vol. 24(4), pages 535-554, March.
    12. Cui, Yuling & Nahm, Daehoon & Tani, Massimiliano, 2013. "Earnings Differentials and Returns to Education in China, 1995-2008," IZA Discussion Papers 7349, Institute of Labor Economics (IZA).
    13. Patrinos, Harry Anthony & Ridao-Cano, Cris & Sakellariou, Chris, 2006. "Estimating the returns to education : accounting for heterogeneity in ability," Policy Research Working Paper Series 4040, The World Bank.
    14. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    15. John Giles & Albert Park & Meiyan Wang, 2019. "The Great Proletarian Cultural Revolution, Disruptions to Education, and the Returns to Schooling in Urban China," Economic Development and Cultural Change, University of Chicago Press, vol. 68(1), pages 131-164.
    16. Xinxin Ma & Chengcheng Zhang, 2017. "Higher Education Expansion and Return to Education in China: Evidence from CGSS2005 and CGSS2013," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 8(3), pages 85-104, July.
    17. CHEN, Guifu & HAMORI, Shigeyuki, 2009. "Economic returns to schooling in urban China: OLS and the instrumental variables approach," China Economic Review, Elsevier, vol. 20(2), pages 143-152, June.
    18. Yang, Dennis Tao, 2005. "Determinants of schooling returns during transition: Evidence from Chinese cities," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 244-264, June.
    19. Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.
    20. Chris Sakellariou, 2005. "Heterogeneity in the Returns to Education and Experience: Evidence from a High and a Low Income S.E. Asian Country," Economic Growth Centre Working Paper Series 0501, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.

    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:obuest:v:75:y:2013:i:3:p:435-454. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.