Abstract
Whether to group students based on their prior academic achievements has been at the center of policy and research debate. This article explores a quasi-experimental setting in South Korea where the “Equalization Policy” replaced ability-tracking in high school students’ allocation. The policy abolished high school entrance exams and began assigning students to high schools without considering students’ prior academic performance, which exposed students to an ability-mixing learning environment. Using a difference-in-difference approach, we show that ability-mixing considerably reduces the number of low-performers in a national college entrance test. At the same time, high-performers are hardly affected by the policy changes. We document that the behavioral changes of low-performing students may drive the main results. In contrast, we find no evidence that grouping mechanisms affect teacher-pupil interaction and teacher quality.
Funding source: University of Southern California
Award Identifier / Grant number: Unassigned
Acknowledgement
We are grateful to Professor Matthew E. Kahn for his guidance. This paper has benefited substantially from feedback provided by Hyungsik Moon, John Strauss, Jeffrey Nugent, Sandra Rozo, Christian Redfearn, Youngchul Kim, and seminar participants at the University of Southern California, Western Economic Association International Annual Meeting (San Diego, 2017), International Association for Applied Econometrics (Montreal, 2018) and the Center for Economic and Social Research. We thank the Ministry of Education in South Korea for providing us with data. All errors are our own.
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Research funding: This work was supported by University of Southern California.
Implementation year of the equalization policy.
| Cities | Ulsan | Seoul | Busan | Daegu | Gwangju | Incheon | Daejeon |
|---|---|---|---|---|---|---|---|
| (treated) | (control) | (control) | (control) | (control) | (control) | (control) | |
| Year | 2000 | 1974 | 1974 | 1975 | 1975 | 1975 | 1979 |
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Before the E.P. policy, all the cities’ high school admission was based on the tracking system. As the policy was implemented at the city-level, there was no across school district heterogeneity in the timing of the policy adaptation.
References
Abdulkadiroglu, A., and T. Sönmez. 2003. “School Choice: A Mechanism Design Approach.” The American Economic Review 93 (3): 729–47. https://doi.org/10.1257/000282803322157061.Search in Google Scholar
Abdulkadiroğlu, A., P. A. Pathak, A. E. Roth, and T. Sönmez. 2005. “The Boston Public School Match.” The American Economic Review 95 (2): 368–71. https://doi.org/10.1257/000282805774669637.Search in Google Scholar
Ahn, T., and Y.-G. Goh. 2021. “The Long-Term Influences of Ability Mixing on Soft Skills.” Journal of Economic Behavior & Organization 191: 367–86. https://doi.org/10.1016/j.jebo.2021.09.008.Search in Google Scholar
Bayer, P., F. Ferreira, and R. McMillan. 2007. “A Unified Framework for Measuring Preferences for Schools and Neighborhoods.” Journal of Political Economy 115 (4): 588–638. https://doi.org/10.1086/522381.Search in Google Scholar
Benabou, R. 1993. “Workings of a City: Location, Education, and Production.” Quarterly Journal of Economics 108 (3): 619–52. https://doi.org/10.2307/2118403.Search in Google Scholar
Benabou, R. 1996. “Equity and Efficiency in Human Capital Investment: The Local Connection.” The Review of Economic Studies 63 (2): 237–64. https://doi.org/10.2307/2297851.Search in Google Scholar
Birdsall, N. 1985. “Public Inputs and Child Schooling in Brazil.” Journal of Development Economics 18 (1): 67–86. https://doi.org/10.1016/0304-3878(85)90007-0.Search in Google Scholar
Booij, A. S., E. Leuven, and H. Oosterbeek. 2017. “Ability Peer Effects in University: Evidence from a Randomized Experiment.” The Review of Economic Studies 84 (2): 547–78.Search in Google Scholar
Brunello, G., and D. Checchi. 2007. “Does School Tracking Affect Equality of Opportunity? New International Evidence.” Economic Policy 22 (52): 782–861. https://doi.org/10.1111/j.1468-0327.2007.00189.x.Search in Google Scholar
Card, D., and L. Giuliano. 2016. “Can Tracking Raise the Test Scores of High-Ability Minority Students?” The American Economic Review 106 (10): 2783–816. https://doi.org/10.1257/aer.20150484.Search in Google Scholar
Carrell, S. E., B. I. Sacerdote, and J. E. West. 2013. “From Natural Variation to Optimal Policy? The Importance of Endogenous Peer Group Formation.” Econometrica 81 (3): 855–82.10.3982/ECTA10168Search in Google Scholar
Choi, E. J., H. R. Moon, and G. Ridder. 2014. “Estimation of an Education Production Function under Random Assignment with Selection.” The American Economic Review 104 (5): 206–11. https://doi.org/10.1257/aer.104.5.206.Search in Google Scholar
Duflo, E., P. Dupas, and M. Kremera. 2011. “Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya.” The American Economic Review 101 (5): 1739–74. https://doi.org/10.1257/aer.101.5.1739.Search in Google Scholar
Dustmann, C., P. A. Puhani, and U. Schönberg. 2017. “The Long-Term Effects of Early Track Choice.” The Economic Journal 127 (603): 1348–80. https://doi.org/10.1111/ecoj.12419.Search in Google Scholar
Gamoran, A., and R. D. Mare. 1989. “Secondary School Tracking and Educational Inequality: Compensation, Reinforcement, or Neutrality?” American Journal of Sociology 94 (5): 1146–83. https://doi.org/10.1086/229114.Search in Google Scholar
Garlick, R. 2018. “Academic Peer Effects with Different Group Assignment Policies: Residential Tracking versus Random Assignment.” American Economic Journal: Applied Economics 10 (3): 345–69. https://doi.org/10.1257/app.20160626.Search in Google Scholar
Goodman-Bacon, A. 2021. “Difference-in-differences with Variation in Treatment Timing.” Journal of Econometrics 225 (2): 254–77. https://doi.org/10.1016/j.jeconom.2021.03.014.Search in Google Scholar
Hahn, S., T. Sung, and J. Baek. 2008. “Mixing versus Sorting: Entering Top Universities.” Economics Letters 100 (1): 43–6. https://doi.org/10.1016/j.econlet.2007.10.028.Search in Google Scholar
Hahn, Y., L. C. Wang, and H.-S. Yang. 2018. “Does Greater School Autonomy Make a Difference? Evidence from a Randomized Natural Experiment in South Korea.” Journal of Public Economics 161: 15–30. https://doi.org/10.1016/j.jpubeco.2018.03.004.Search in Google Scholar
Hanushek, E. A., and S. G. Rivkin. 2006. “Teacher Quality.” In Handbook of the Economics of Education, Vol. 2, 1051–78. Amsterdam, Netherlands: Elsevier B.V.10.1016/S1574-0692(06)02018-6Search in Google Scholar
Hanushek, E. A., and L. Wößmann. 2006. “Does Educational Tracking Affect Performance and Inequality? Differences-in-Differences Evidence across Countries.” The Economic Journal 116 (510): C63–76.10.3386/w11124Search in Google Scholar
Kang, C., C. Park, and M.-J. Lee. 2007. “Effects of Ability Mixing in High School on Adulthood Earnings: Quasiexperimental Evidence from South Korea.” Journal of Population Economics 20 (2): 269–97. https://doi.org/10.1007/s00148-006-0090-y.Search in Google Scholar
Kim, S., and J.-H. Lee. 2010. “Private Tutoring and Demand for Education in South Korea.” Economic Development and Cultural Change 58 (2): 259–96. https://doi.org/10.1086/648186.Search in Google Scholar
Kim, T., J.-H. Lee, and Y. Lee. 2008. “Mixing versus Sorting in Schooling: Evidence from the Equalization Policy in South Korea.” Economics of Education Review 27 (6): 697–711. https://doi.org/10.1016/j.econedurev.2006.07.014.Search in Google Scholar
Kim, Y.-C., Y.-J. Kim, and G. C. Loury. 2014. “Widening Gap in College Admission and Improving Equal Opportunity in South Korea.” Global Economic Review 43 (2): 110–30. https://doi.org/10.1080/1226508x.2014.920241.Search in Google Scholar
Lee, Y. S. 2014. “Exams, Districts, and Intergenerational Mobility: Evidence from South Korea.” Labour Economics 29: 62–71. https://doi.org/10.1016/j.labeco.2014.05.006.Search in Google Scholar
Pop-Eleches, C., and M. Urquiola. 2013. “Going to a Better School: Effects and Behavioral Responses.” The American Economic Review 103 (4): 1289–324. https://doi.org/10.1257/aer.103.4.1289.Search in Google Scholar
Rice, J. K. 2003. Teacher Quality: Understanding the Effectiveness of Teacher Attributes. Washington, DC: Economic Policy Institute.Search in Google Scholar
Slavin, R. E. 1987. “Ability Grouping and Student Achievement in Elementary Schools: A Best-Evidence Synthesis.” Review of Educational Research 57 (3): 293–336. https://doi.org/10.3102/00346543057003293.Search in Google Scholar
Summers, A. A., and B. L. Wolfe. 1977. “Do Schools Make a Difference?” The American Economic Review 67 (4): 639–52.Search in Google Scholar
Wang, L. C. 2015. “All Work and No Play? The Effects of Ability Sorting on Students’ Non-school Inputs, Time Use, and Grade Anxiety.” Economics of Education Review 44: 29–41. https://doi.org/10.1016/j.econedurev.2014.10.008.Search in Google Scholar
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Articles in the same Issue
- Frontmatter
- Research Articles
- Default Behavior and Risk Aversion in Defined Contribution Retirement Systems: Evidence from Chile
- Linking Employment and Death: Measuring the Structural Disparity in COVID-19 Deaths for Non-telework Essential Workers
- Estimating the Effect of Distance on the Migration of Higher Education Candidates
- Do Female Politicians Lead to Better Learning Outcomes?
- Understanding Household Consumption Behaviour: What do we Learn from a Developing Country?
- Learning with Differing-Ability Peers: Evidence from a Natural Experiment in South Korea
- Is Bilingual Education Desirable in Multilingual countries?
- Letter
- Is the Non-disclosure Policy of Audit Intensity Always Effective? A Theoretical Exploration
Articles in the same Issue
- Frontmatter
- Research Articles
- Default Behavior and Risk Aversion in Defined Contribution Retirement Systems: Evidence from Chile
- Linking Employment and Death: Measuring the Structural Disparity in COVID-19 Deaths for Non-telework Essential Workers
- Estimating the Effect of Distance on the Migration of Higher Education Candidates
- Do Female Politicians Lead to Better Learning Outcomes?
- Understanding Household Consumption Behaviour: What do we Learn from a Developing Country?
- Learning with Differing-Ability Peers: Evidence from a Natural Experiment in South Korea
- Is Bilingual Education Desirable in Multilingual countries?
- Letter
- Is the Non-disclosure Policy of Audit Intensity Always Effective? A Theoretical Exploration