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The effect of primary school type on the high school opportunities of migrant children in China

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  • Chen, Yuanyuan
  • Feng, Shuaizhang
  • Han, Yujie

Abstract

Using longitudinal data collected from China, this paper studies how primary school type affects migrant children’s high school opportunities. We use parental residence prior to a policy change in Shanghai as an instrument for primary school type, and find that migrant children who attended private primary schools are 10% less likely to enter high schools without retention than their counterparts who attended public primary schools. We show that both institutional barriers and learning at the primary school stage affect students’ probability of entering high school and whether they go to regular or vocational high schools.

Suggested Citation

  • Chen, Yuanyuan & Feng, Shuaizhang & Han, Yujie, 2020. "The effect of primary school type on the high school opportunities of migrant children in China," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 325-338.
    • Handle: RePEc:eee:jcecon:v:48:y:2020:i:2:p:325-338
    DOI: 10.1016/j.jce.2019.10.006
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    1. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G. & Branch, Gregory F., 2007. "Charter school quality and parental decision making with school choice," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 823-848, June.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. Kingdon, Geeta, 1996. "The Quality and Efficiency of Private and Public Education: A Case-Study of Urban India," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(1), pages 57-82, February.
    4. Astrid Grasdal, 2001. "The performance of sample selection estimators to control for attrition bias," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 385-398, July.
    5. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    6. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    7. Harold Alderman & Peter F. Orazem & Elizabeth M. Paterno, 2001. "School Quality, School Cost, and the Public/Private School Choices of Low-Income Households in Pakistan," Journal of Human Resources, University of Wisconsin Press, vol. 36(2), pages 304-326.
    8. Li, Hongbin & Liu, Pak Wai & Zhang, Junsen, 2012. "Estimating returns to education using twins in urban China," Journal of Development Economics, Elsevier, vol. 97(2), pages 494-504.
    9. Adriana Lleras-Muney, 2005. "The Relationship Between Education and Adult Mortality in the United States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 189-221.
    10. Damon Clark, 2009. "The Performance and Competitive Effects of School Autonomy," Journal of Political Economy, University of Chicago Press, vol. 117(4), pages 745-783, August.
    11. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    12. Yuanyuan Chen & Shuaizhang Feng, 2017. "Quality of migrant schools in China: evidence from a longitudinal study in Shanghai," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(3), pages 1007-1034, July.
    13. Lance Lochner & Enrico Moretti, 2004. "The Effect of Education on Crime: Evidence from Prison Inmates, Arrests, and Self-Reports," American Economic Review, American Economic Association, vol. 94(1), pages 155-189, March.
    14. Chen, Yuanyuan & Feng, Shuaizhang, 2019. "The education of migrant children in China's urban public elementary schools: Evidence from Shanghai," China Economic Review, Elsevier, vol. 54(C), pages 390-402.
    15. Chen, Yuanyuan & Feng, Shuaizhang, 2013. "Access to public schools and the education of migrant children in China," China Economic Review, Elsevier, vol. 26(C), pages 75-88.
    16. Cox, Donald & Jimenez, Emmanuel, 1990. "The relative effectiveness of private and public schools : Evidence from two developing countries," Journal of Development Economics, Elsevier, vol. 34(1-2), pages 99-121, November.
    17. Scott A. Imberman, 2011. "Achievement and Behavior in Charter Schools: Drawing a More Complete Picture," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 416-435, May.
    18. 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.
    19. Wu, Qiaobing & Lu, Deping & Kang, Mi, 2015. "Social capital and the mental health of children in rural China with different experiences of parental migration," Social Science & Medicine, Elsevier, vol. 132(C), pages 270-277.
    20. Liu, Ting & Holmes, Kathryn & Albright, James, 2015. "Predictors of mathematics achievement of migrant children in Chinese urban schools: A comparative study," International Journal of Educational Development, Elsevier, vol. 42(C), pages 35-42.
    21. David Newhouse & Kathleen Beegle, 2006. "The Effect of School Type on Academic Achievement: Evidence from Indonesia," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    22. Bedi, Arjun S. & Garg, Ashish, 2000. "The effectiveness of private versus public schools: the case of Indonesia," Journal of Development Economics, Elsevier, vol. 61(2), pages 463-494, April.
    23. Jimenez, Emmanuel & Lockheed, Marlaine E & Paqueo, Vicente, 1991. "The Relative Efficiency of Private and Public Schools in Developing Countries," The World Bank Research Observer, World Bank, vol. 6(2), pages 205-218, July.
    24. James P. Ziliak & Thomas J. Kniesner, 1998. "The Importance of Sample Attrition in Life Cycle Labor Supply Estimation," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 507-530.
    25. Yuanyuan Chen & Shuaizhang Feng & Yujie Han, 2019. "Research on the Education of Migrant Children in China: A Review of the Literature," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 14(2), pages 168-202, June.
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    More about this item

    Keywords

    School type; Migrant children; High school enrollment; China;
    All these keywords.

    JEL classification:

    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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