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Does private tutoring improve students’ National College Entrance Exam performance?—A case study from Jinan, China

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  • Zhang, Yu

Abstract

With the increasing attention on improving student achievement, private tutoring has been expanding rapidly worldwide. However, the evidence on the effect of private tutoring is inconclusive for education researchers and policy makers. Employing a comprehensive dataset collected from China in 2010, this study tries to identify the effect of private tutoring on student achievement in the National College Entrance Exam (NCEE) of China. This study finds that private tutoring has mixed and heterogeneous effects on mathematics, Chinese language, and English language respectively and on the NCEE total score. The average effect of private tutoring is not significant, but it may have a significant and positive effect on urban students with lower achievement or in schools with certain quality. Students from schools with more educational inputs are more likely to benefit from private tutoring.

Suggested Citation

  • Zhang, Yu, 2013. "Does private tutoring improve students’ National College Entrance Exam performance?—A case study from Jinan, China," Economics of Education Review, Elsevier, vol. 32(C), pages 1-28.
  • Handle: RePEc:eee:ecoedu:v:32:y:2013:i:c:p:1-28
    DOI: 10.1016/j.econedurev.2012.09.008
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    1. Tansel, AysIt & Bircan, Fatma, 2006. "Demand for education in Turkey: A tobit analysis of private tutoring expenditures," Economics of Education Review, Elsevier, vol. 25(3), pages 303-313, June.
    2. Dang, Hai-Anh & Rogers, F. Halsey, 2008. "How to interpret the growing phenomenon of private tutoring : human capital deepening, inequality increasing, or waste of resources ?," Policy Research Working Paper Series 4530, The World Bank.
    3. Bray, Mark & Kwok, Percy, 2003. "Demand for private supplementary tutoring: conceptual considerations, and socio-economic patterns in Hong Kong," Economics of Education Review, Elsevier, vol. 22(6), pages 611-620, December.
    4. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    5. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    6. Roland Cheo & Euston Quah, 2005. "Mothers, Maids and Tutors: An Empirical Evaluation of their Effect on Children's Academic Grades in Singapore," Education Economics, Taylor & Francis Journals, vol. 13(3), pages 269-285.
    7. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    8. Dang, Hai-Anh, 2007. "The determinants and impact of private tutoring classes in Vietnam," Economics of Education Review, Elsevier, vol. 26(6), pages 683-698, December.
    9. Ono, Hiroshi, 2007. "Does examination hell pay off ? A cost-benefit analysis of "ronin" and college education in Japan," Economics of Education Review, Elsevier, vol. 26(3), pages 271-284, June.
    10. Daniel Suryadarma & Asep Suryahadi & Sudarno Sumarto & F. Halsey Rogers, 2006. "Improving Student Performance in Public Primary Schools in Developing Countries: Evidence from Indonesia," Education Economics, Taylor & Francis Journals, vol. 14(4), pages 401-429.
    11. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," Econometrica, Econometric Society, vol. 70(6), pages 2367-2420, November.
    12. 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.
    13. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    14. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    15. Schmertmann, Carl P., 1994. "Selectivity bias correction methods in polychotomous sample selection models," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 101-132.
    16. Zimmer, Ron & Hamilton, Laura & Christina, Rachel, 2010. "After-school tutoring in the context of no Child Left Behind: Effectiveness of two programs in the Pittsburgh Public Schools," Economics of Education Review, Elsevier, vol. 29(1), pages 18-28, February.
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    More about this item

    Keywords

    Private tutoring effect; Academic achievement; National College Entrance Exam;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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