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The Long-Run Effects of Disruptive Peers

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  • Scott E. Carrell
  • Mark Hoekstra
  • Elira Kuka

Abstract

A large and growing literature has documented the importance of peer effects in education. However, there is relatively little evidence on the long-run educational and labor market consequences of childhood peers. We examine this question by linking administrative data on elementary school students to subsequent test scores, college attendance and completion, and earnings. To distinguish the effect of peers from confounding factors, we exploit the population variation in the proportion of children from families linked to domestic violence, who were shown by Carrell and Hoekstra (2010, 2012) to disrupt contemporaneous behavior and learning. Results show that exposure to a disruptive peer in classes of 25 during elementary school reduces earnings at age 26 by 3 to 4 percent. We estimate that differential exposure to children linked to domestic violence explains 5 to 6 percent of the rich-poor earnings gap in our data, and that removing one disruptive peer from a classroom for one year would raise the present discounted value of classmates' future earnings by $100,000.

Suggested Citation

  • Scott E. Carrell & Mark Hoekstra & Elira Kuka, 2016. "The Long-Run Effects of Disruptive Peers," NBER Working Papers 22042, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22042
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    References listed on IDEAS

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    1. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, Oxford University Press, vol. 126(4), pages 1593-1660.
    2. Scott E. Carrell & Mark Hoekstra, 2012. "Family Business or Social Problem? The Cost of Unreported Domestic Violence," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 31(4), pages 861-875, September.
    3. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, Oxford University Press, vol. 115(4), pages 1239-1285.
    4. Jens Ludwig & Douglas L. Miller, 2007. "Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design," The Quarterly Journal of Economics, Oxford University Press, vol. 122(1), pages 159-208.
    5. Scott E. Carrell & Mark L. Hoekstra, 2010. "Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone's Kids," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 211-228, January.
    6. Susan Dynarski & Joshua Hyman & Diane Whitmore Schanzenbach, 2013. "Experimental Evidence on the Effect of Childhood Investments on Postsecondary Attainment and Degree Completion," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(4), pages 692-717, September.
    7. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    8. Massimo Anelli & Giovanni Peri, 2015. "Peers’ Composition Effects in the Short and in the Long Run: College Major, College Performance and Income," Working Papers 078, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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