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Heterogeneous Peer Effects and Rank Concerns: Theory and Evidence

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  • Michela Tincani

    (University College London)

Abstract

Using a theoretical model where students care about achievement rank, I study effort choices in the classroom and show that rank concerns generate peer effects. The model's key empirical prediction is that the effect on own achievement of increasing the dispersion in peer cost of effort is heterogeneous, depending on a student's own cost of effort. To test this, I construct a longitudinal multi-cohort dataset of students, with data on the geographic propagation of building damages from the Chilean 2010 earthquake. I find that higher dispersion in home damages among one's classmates led, on average, to lower own Mathematics and Spanish test scores. To be able to test the theory, I develop a novel nonlinear difference-in-differences model that estimates effect heterogeneity and that relates observed damages to unobserved cost of effort. I find that some students at the tails of the predicted cost of effort distribution benefit from higher dispersion in peer cost of effort, as predicted by the theoretical model. This finding suggests that observed peer effects on test scores are, at least partly, governed by rank concerns.

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  • Michela Tincani, 2017. "Heterogeneous Peer Effects and Rank Concerns: Theory and Evidence," Working Papers 2017-006, Human Capital and Economic Opportunity Working Group.
  • Handle: RePEc:hka:wpaper:2017-006
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    Cited by:

    1. Abramitzky, Ran & Lavy, Victor & Pérez, Santiago, 2021. "The long-term spillover effects of changes in the return to schooling," Journal of Public Economics, Elsevier, vol. 196(C).
    2. Jeffrey T. Denning & Richard Murphy & Felix Weinhardt, 2023. "Class Rank and Long-Run Outcomes," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1426-1441, November.
    3. Marco Bertoni & Roberto Nisticò, 2018. "Rank Concerns, Peer Effects, and Ability Tracking in University. Evidence from a Randomized Experiment," CSEF Working Papers 506, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    4. Busso, Matias & Frisancho, Veronica, 2021. "Good peers have asymmetric gendered effects on female educational outcomes: Experimental evidence from Mexico," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 727-747.
    5. Arun Advani & Bansi Malde, 2018. "Credibly Identifying Social Effects: Accounting For Network Formation And Measurement Error," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1016-1044, September.
    6. Christopher Belfield & Imran Rasul, 2020. "Cognitive and Non‐Cognitive Impacts of High‐Ability Peers in Early Years," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 65-100, March.
    7. Busso, Matías & Frisancho, Verónica, 2023. "Ability Grouping and Student Performance: Experimental Evidence from Middle Schools in Mexico," IDB Publications (Working Papers) 12681, Inter-American Development Bank.
    8. Kiessling, Lukas & Radbruch, Jonas & Schaube, Sebastian, 2018. "The Impact of Self-Selection on Performance," IZA Discussion Papers 11365, Institute of Labor Economics (IZA).
    9. Bertoni, Marco & Nistico, Roberto, 2019. "Ordinal Rank and Peer Composition: Two Sides of the Same Coin?," IZA Discussion Papers 12789, Institute of Labor Economics (IZA).
    10. Lauren Ratliff Santoro & Jonas B. Bunte, 2023. "What Did You Get? Peers, Information, and Student Exam Performance," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(3), pages 423-450, May.
    11. Aparicio Fenoll, Ainoa, 2021. "The best in the class," Economics of Education Review, Elsevier, vol. 84(C).
    12. Megalokonomou, Rigissa & Zhang, Yi, 2022. "How Good Am I? Effects and Mechanisms behind Salient Ranks," IZA Discussion Papers 15604, Institute of Labor Economics (IZA).
    13. Ballatore, Rosario Maria & Paccagnella, Marco & Tonello, Marco, 2020. "Bullied because younger than my mates? The effect of age rank on victimisation at school," Labour Economics, Elsevier, vol. 62(C).
    14. Petra Thiemann, 2022. "The Persistent Effects of Short-Term Peer Groups on Performance: Evidence from a Natural Experiment in Higher Education," Management Science, INFORMS, vol. 68(2), pages 1131-1148, February.
    15. Lukas Kiessling & Jonathan Norris, 2020. "The long-run effects of peers on mental health," Working Papers 2006, University of Strathclyde Business School, Department of Economics.
    16. Bertoni, Marco & Nisticò, Roberto, 2023. "Ordinal rank and the structure of ability peer effects," Journal of Public Economics, Elsevier, vol. 217(C).
    17. Goulas, Sofoklis & Griselda, Silvia & Megalokonomou, Rigissa, 2020. "Comparative Advantage and Gender Gap in STEM," IZA Discussion Papers 13313, Institute of Labor Economics (IZA).
    18. Belmonte, Alessandro & Bove, Vincenzo & D’Inverno, Giovanna & Modica, Marco, 2020. "School infrastructure spending and educational outcomes: Evidence from the 2012 earthquake in Northern Italy," Economics of Education Review, Elsevier, vol. 75(C).
    19. Marco Bertoni & Giorgio Brunello & Lorenzo Cappellari, 2020. "Who benefits from privileged peers? Evidence from siblings in schools," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 893-916, November.
    20. Rigissa Megalokonomou & Yi Zhang, 2023. "How Good Am I? Effects and Mechanisms Behind Salient Rank," Monash Economics Working Papers 2023-07, Monash University, Department of Economics.
    21. Yu, Han, 2020. "Am I the big fish? The effect of ordinal rank on student academic performance in middle school," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 18-41.
    22. Ribas, Rafael P. & Sampaio, Breno & Trevisan, Giuseppe, 2020. "Short- and long-term effects of class assignment: Evidence from a flagship university in Brazil," Labour Economics, Elsevier, vol. 64(C).

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    More about this item

    Keywords

    ability peer effects; rank preferences; semiparametric model; structural model;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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