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Academic peer effects with different group assignment policies : residential tracking versus random assignment

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  • Garlick, Robert

Abstract

This paper studies the relative academic performance of students tracked or randomly assigned to South African university dormitories. Tracked or streamed assignment creates dormitories where all students obtained similar scores on high school graduation examinations. Random assignment creates dormitories that are approximately representative of the population of students. Tracking lowers students'mean grades in their first year of university and increases the variance or inequality of grades. This result is driven by a large negative effect of tracking on low-scoring students'grades and a near-zero effect on high-scoring students'grades. Low-scoring students are more sensitive to changes in their peer group composition and their grades suffer if they live only with low-scoring peers. In this setting, residential tracking has undesirable efficiency (lower mean) and equity (higher variance) effects. The result isolates a pure peer effect of tracking, whereas classroom tracking studies identify a combination of peer effects and differences in teacher behavior across tracked and untracked classrooms. The negative pure peer effect of residential tracking suggests that classroom tracking may also have negative effects unless teachers are more effective in homogeneous classrooms. Random variation in peer group composition under random dormitory assignment also generates peer effects. Living with higher-scoring peers increases students'grades and the effect is larger for low-scoring students. This is consistent with the aggregate effects of tracking relative to random assignment. However, using peer effects estimated in randomly assigned groups to predict outcomes in tracked groups yields unreliable predictions. This illustrates a more general risk that peer effects estimated under one peer group assignment policy provide limited information about how peer effects might work with a different peer group assignment policy.

Suggested Citation

  • Garlick, Robert, 2014. "Academic peer effects with different group assignment policies : residential tracking versus random assignment," Policy Research Working Paper Series 6787, The World Bank.
    • Handle: RePEc:wbk:wbrwps:6787
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    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    3. Weili Ding & Steven F. Lehrer, 2007. "Do Peers Affect Student Achievement in China's Secondary Schools?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 300-312, May.
    4. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    5. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    6. Scott E. Carrell & Frederick V. Malmstrom & James E. West, 2008. "Peer Effects in Academic Cheating," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    7. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    8. Arnott, Richard & Rowse, John, 1987. "Peer group effects and educational attainment," Journal of Public Economics, Elsevier, vol. 32(3), pages 287-305, April.
    9. Joshua D. Angrist & Kevin Lang, 2004. "Does School Integration Generate Peer Effects? Evidence from Boston's Metco Program," American Economic Review, American Economic Association, vol. 94(5), pages 1613-1634, December.
    10. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-1774, August.
    11. Michael Kremer & Dan Levy, 2008. "Peer Effects and Alcohol Use among College Students," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 189-206, Summer.
    12. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    13. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    14. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    15. Bertrand, Marianne & Hanna, Rema & Mullainathan, Sendhil, 2010. "Affirmative action in education: Evidence from engineering college admissions in India," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 16-29, February.
    16. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    17. Roland Bénabou, 1996. "Equity and Efficiency in Human Capital Investment: The Local Connection," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(2), pages 237-264.
    18. Betts, Julian R., 2011. "The Economics of Tracking in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 7, pages 341-381, Elsevier.
    19. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2017. "Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 683-697, July.
    20. Epple, Dennis & Romano, Richard E, 1998. "Competition between Private and Public Schools, Vouchers, and Peer-Group Effects," American Economic Review, American Economic Association, vol. 88(1), pages 33-62, March.
    21. Bhattacharya, Debopam, 2009. "Inferring Optimal Peer Assignment From Experimental Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 486-500.
    22. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2013. "From Natural Variation to Optimal Policy? The Importance of Endogenous Peer Group Formation," Econometrica, Econometric Society, vol. 81(3), pages 855-882, May.
    23. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    24. Jane Cooley Fruehwirth, 2014. "Can Achievement Peer Effect Estimates Inform Policy? A View from Inside the Black Box," The Review of Economics and Statistics, MIT Press, vol. 96(3), pages 514-523, July.
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    More about this item

    Keywords

    Tertiary Education; Secondary Education; Teaching and Learning; Primary Education; Educational Sciences;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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