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

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Abstract

We develop and estimate an equilibrium model of study time choices of students on a social network. We examine how network structure interacts with student characteristics to affect academic achievement. Due to data limitations, few papers examine the mechanisms through which peer effects operate. The model is designed to exploit unique data collected in the Berea Panel Study. Study time data allow us to quantify an intuitive mechanism for social interactions: the cost of own study time may depend on friend study time. Social network data allow study time choices and resulting academic achievement to be embedded in an equilibrium framework. We find friend study time strongly affects own study time, and, therefore, student achievement. Not taking into account equilibrium behavior would drastically understate the effect of peers. Sorting on friend characteristics appears important in explaining variation across students in study time and achievement, and determines the aggregate achievement level.

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  • Tim Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2015. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20154, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    • Handle: RePEc:uwo:hcuwoc:20154
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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. 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.
    4. 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.
    5. Raphael Brade, 2024. "Short-Term Events, Long-Term Friends? Freshman Orientation Peers and Academic Performance," CESifo Working Paper Series 11046, CESifo.
    6. 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.

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    More about this item

    Keywords

    Social Networks; Peer Effects; Homophily; Time-use;
    All these keywords.

    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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