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Private Tutoring and Distribution of Student Academic Outcomes: An Implication of the Presence of Private Tutoring for Educational Inequality

Author

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  • Changhui Kang

    (Chung-Ang University)

  • Yoonsoo Park

    (Sookmyung Women’s University)

Abstract

As private tutoring becomes globally widespread, many worry that an expansion of private tutoring aggravates educational inequality and ultimately intergenerational mobility. We address the issues by estimating the average and distributional effects of private tutoring on academic outcomes of Korean middle school students. Applying a semiparametric model recovering distributions in difference-in-differences models, we discover that the presence of private tutoring shifts the upper half of the outcome distribution rightward, but it exerts statistically insignificant effects on the lower half of the distribution. Our result suggests that the expansion of private tutoring in an education system is expected to aggravate educational inequality more than an empirical method reporting modest average effects suggests.

Suggested Citation

  • Changhui Kang & Yoonsoo Park, 2021. "Private Tutoring and Distribution of Student Academic Outcomes: An Implication of the Presence of Private Tutoring for Educational Inequality," Korean Economic Review, Korean Economic Association, vol. 37, pages 287-326.
    • Handle: RePEc:kea:keappr:ker-20210701-37-2-04
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    References listed on IDEAS

    as
    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Sally Sadoff, 2014. "The role of experimentation in education policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(4), pages 597-620.
    3. Loyalka, Prashant & Zakharov, Andrey, 2016. "Does shadow education help students prepare for college? Evidence from Russia," International Journal of Educational Development, Elsevier, vol. 49(C), pages 22-30.
    4. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    5. repec:fth:prinin:366 is not listed on IDEAS
    6. Bedard, Kelly, 2003. "School quality and the distribution of male earnings in Canada," Economics of Education Review, Elsevier, vol. 22(4), pages 395-407, August.
    7. Alan B. Krueger & Diane M. Whitmore, 1999. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Working Papers 806, Princeton University, Department of Economics, Industrial Relations Section..
    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. Aysit Tansel & Fatma Bircan, 2005. "Effect of Private Tutoring on University Entrance Examination Performance in Turkey," ERC Working Papers 0504, ERC - Economic Research Center, Middle East Technical University, revised Jun 2005.
    10. Esfandiar Maasoumi & Daniel Millimet & Vasudha Rangaprasad, 2005. "Class Size and Educational Policy: Who Benefits from Smaller Classes?," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 333-368.
    11. 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.
    12. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2008. "Using Selection on Observed Variables to Assess Bias from Unobservables When Evaluating Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 345-350, May.
    13. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
    14. David Card & Alan B. Krueger, 1996. "School Resources and Student Outcomes: An Overview of the Literature and New Evidence from North and South Carolina," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 31-50, Fall.
    15. Corak, Miles & Lauzon, Darren, 2009. "Differences in the distribution of high school achievement: The role of class-size and time-in-term," Economics of Education Review, Elsevier, vol. 28(2), pages 189-198, April.
    16. Stéphane Bonhomme & Ulrich Sauder, 2011. "Recovering Distributions in Difference-in-Differences Models: A Comparison of Selective and Comprehensive Schooling," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 479-494, May.
    17. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    18. Prashant Loyalka & Andrey Zakharov, 2014. "Does shadow education help students prepare for college?," HSE Working papers WP BRP 15/EDU/2014, National Research University Higher School of Economics.
    19. 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.
    20. Jonathan Guryan, 2001. "Does Money Matter? Regression-Discontinuity Estimates from Education Finance Reform in Massachusetts," NBER Working Papers 8269, National Bureau of Economic Research, Inc.
    21. 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.
    22. Gurun, Ayfer & Millimet, Daniel L., 2008. "Does Private Tutoring Payoff?," IZA Discussion Papers 3637, Institute of Labor Economics (IZA).
    23. 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.
    24. Lamarche, Carlos, 2008. "Private school vouchers and student achievement: A fixed effects quantile regression evaluation," Labour Economics, Elsevier, vol. 15(4), pages 575-590, August.
    25. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    26. Deockhyun Ryu & Changhui Kang, 2013. "Do Private Tutoring Expenditures Raise Academic Performance? Evidence from Middle School Students in South Korea," Asian Economic Journal, East Asian Economic Association, vol. 27(1), pages 59-83, March.
    27. David Card & Alan Krueger, 1996. "School Resources and Student Outcomes: An Overview of the Literature and New Evidence from North and South Carolina," Working Papers 745, Princeton University, Department of Economics, Industrial Relations Section..
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    More about this item

    Keywords

    Private Tutoring; Academic Outcome; Educational Inequality; Quantile Treatment Effect;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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