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Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement

Author

Listed:
  • Timothy G. Conley
  • Nirav Mehta
  • Ralph Stinebrickner
  • Todd Stinebrickner

Abstract

We develop and estimate a model of student study time choices on a social network. The model is designed to exploit unique data in the Berea Panel Study. Study time data allow us to quantify an intuitive mechanism for academic social interactions: own study time may depend on friend study time in a heterogeneous manner. Social network data allow us to embed study time and resulting academic achievement in an estimable equilibrium framework. We develop a specification test that exploits the equilibrium nature of social interactions and use it to show that novel study propensity measures mitigate econometric endogeneity concerns.

Suggested Citation

  • Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    • Handle: RePEc:ucp:jpolec:doi:10.1086/726902
    DOI: 10.1086/726902
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    Cited by:

    1. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    2. Jan Feld & Ulf Zölitz, 2017. "Understanding Peer Effects: On the Nature, Estimation, and Channels of Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 387-428.
    3. Lahiri, Radhika & Wei, Honghong, 2025. "Microfinance duration and development: The case of three cities in India," Economic Modelling, Elsevier, vol. 149(C).
    4. Adriana Lleras-Muney & Matthew Miller & Shuyang Sheng & Veronica T. Sovero, 2020. "Party On: The Labor Market Returns to Social Networks in Adolescence," NBER Working Papers 27337, National Bureau of Economic Research, Inc.
    5. Jan Feld & Ulf Zölitz, 2017. "Understanding Peer Effects: On the Nature, Estimation, and Channels of Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 387-428.
    6. Raphael Brade, 2024. "Short-Term Events, Long-Term Friends? Freshman Orientation Peers and Academic Performance," CESifo Working Paper Series 11046, CESifo.
    7. Jan Feld & Ulf Zölitz, 2017. "Understanding Peer Effects: On the Nature, Estimation, and Channels of Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 387-428.

    More about this item

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • I20 - Health, Education, and Welfare - - Education - - - General

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