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The Impact of Low-Ability Peers on Cognitive and Noncognitive Outcomes: Random Assignment Evidence on the Effects and Operating Channels

Author

Listed:
  • Di Xu
  • Qing Zhang
  • Xuehan Zhou

Abstract

This article presents new experimental estimates of the impact of low-ability peers on own outcomes using nationally representative data from China. We exploit the random assignment of students to junior high school classrooms and find that the proportion of low-ability peers, defined as having been retained during primary school (“repeaters”), has negative effects on nonrepeaters’ cognitive and noncognitive outcomes. An exploration of the mechanisms shows that a larger proportion of repeater peers is associated with reduced after-school study time. The negative effects are driven by male repeaters and are more pronounced among students with less strict parental monitoring at home.

Suggested Citation

  • Di Xu & Qing Zhang & Xuehan Zhou, 2022. "The Impact of Low-Ability Peers on Cognitive and Noncognitive Outcomes: Random Assignment Evidence on the Effects and Operating Channels," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 555-596.
    • Handle: RePEc:uwp:jhriss:v:57:y:2022:i:2:p:555-596
    Note: DOI: 10.3368/jhr.57.2.0718-9637R2
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    File URL: http://jhr.uwpress.org/cgi/reprint/57/2/555
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    Citations

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    Cited by:

    1. Hoyong Jung, 2024. "Peer Effects on Self-regulated Study: Evidence from Randomly Assigned Classrooms in South Korea," Korean Economic Review, Korean Economic Association, vol. 40, pages 349-369.
    2. Goller, Daniel & Diem, Andrea & Wolter, Stefan C., 2023. "Sitting next to a dropout: Academic success of students with more educated peers," Economics of Education Review, Elsevier, vol. 93(C).
    3. Xu, Lei & Tani, Massimiliano & Zhu, Yu, 2024. "Can the Teaching Style Reduce Inequality in the Classroom? Evidence from a Quasi-Experiment," IZA Discussion Papers 17135, Institute of Labor Economics (IZA).
    4. Luo, Yiyang & Yang, Songtao, 2023. "Gender peer effects on students’ educational and occupational expectations," China Economic Review, Elsevier, vol. 77(C).
    5. Liwen Chen & Bobby W. Chung & Guanghua Wang, 2023. "Stay-at-Home Peer Mothers and Gender Norms: Short-run Effects on Educational Outcomes," Working Papers 2023-03, University of South Florida, Department of Economics.
    6. Li, Li & Zhao, Liqiu, 2022. "Does a “bad apple” spoil the bunch? The impact of low-achieving students on non-cognitive outcomes," China Economic Review, Elsevier, vol. 76(C).
    7. Dong, Xiaoqi & Liang, Yinhe & Yu, Shuang, 2023. "Middle-achieving students are also my peers: The impact of peer effort on academic performance," Labour Economics, Elsevier, vol. 80(C).
    8. Zhang, Jianshun & Zhou, Yao, 2023. "The peer effect of migrant children on students’ non-cognitive outcomes: Evidence from China," International Journal of Educational Development, Elsevier, vol. 103(C).
    9. Hill, Darryl V. & Hughes, Rodney P. & Lenard, Matthew A. & Liebowitz, David D. & Page, Lindsay C., 2023. "New schools and new classmates: The disruption and peer group effects of school reassignment," Economics of Education Review, Elsevier, vol. 92(C).
    10. Pan, Zheng & Luo, Yiyang, 2023. "Peers with special needs and students’ noncognitive performance: Evidence from China," Economic Modelling, Elsevier, vol. 125(C).
    11. Zhou, Weina & Wang, Shun, 2023. "Early childhood health shocks, classroom environment, and social-emotional outcomes," Journal of Health Economics, Elsevier, vol. 87(C).

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • D62 - Microeconomics - - Welfare Economics - - - Externalities

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