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The Effect of Classmate Characteristics on Individual Outcomes: Evidence from the Add Health

Author

Listed:
  • Robert Bifulco

    (Syracuse University)

  • Jason Fletcher

    (Yale University)

  • Stephen Ross

    (University of Connecticut)

Abstract

We use data from the National Longitudinal Study of Adolescent Health (Add Health) to examine the effects of classmate characteristics on economic and social outcomes of students. The unique structure of the Add Health allows us to estimate these effects using comparisons across cohorts within schools, and to examine a wider range of outcomes than other studies that have used this identification strategy. This strategy yields variation in cohort composition that is uncorrelated with student observables suggesting that our estimates are not biased by the selection of students into schools or grades based on classmate characteristics. We find that increases in the percent of classmates whose mother is college educated has significant, desirable effects on educational attainment and substance use. We do not find much evidence that the percent of classmates who are black or Hispanic has significant effects on individual outcomes, on average. Additional analyses suggest, however, that an increase in the percent black or Hispanic may increase dropout rates among black students and post-high school idleness among males.

Suggested Citation

  • Robert Bifulco & Jason Fletcher & Stephen Ross, 2008. "The Effect of Classmate Characteristics on Individual Outcomes: Evidence from the Add Health," Working papers 2008-21, University of Connecticut, Department of Economics, revised Jan 2009.
  • Handle: RePEc:uct:uconnp:2008-21
    Note: This research uses data from Add Health, a program project designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris, and funded by a grant P01-HD31921 from the National Institute of Child Health and Human Development, with cooperative funding from 17 other agencies. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Persons interested in obtaining data files from Add Health should contact Add Health, Carolina Population Center, 123 W. Franklin Street, Chapel Hill, NC 27516-2524 (addhealth@unc.edu). The authors would like to thank Joseph Altonji, Barry Hirsch, Erdal Tekin, Spencer Banzhaf, and Tom Downes who provided comments on the work presented here, as well as participants at the Syracuse University education policy seminar, the Tufts economics department seminar, the Yale labor economics lunch, and the Georgia State University labor/health economics seminar.
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    Cited by:

    1. Yannis M. Ioannides & Giorgio Topa, 2010. "Neighborhood Effects: Accomplishments And Looking Beyond Them," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 343-362, February.
    2. Giorgio Topa & Elizabeth Setren & Meta Brown, 2011. "Do Referrals Lead to Better Matches? Evidence from a Firm's Employee," 2011 Meeting Papers 711, Society for Economic Dynamics.
    3. Stephen L. Ross, 2009. "Social Interactions within Cities: Neighborhood Environments and Peer Relationships," Working papers 2009-31, University of Connecticut, Department of Economics.
    4. ÖZGÜR, Onur & BISIN, Alberto, 2011. "Dynamic Linear Economies with Social Interactions," Cahiers de recherche 04-2011, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    5. Victor Lavy & M. Daniele Paserman & Analia Schlosser, 2012. "Inside the Black Box of Ability Peer Effects: Evidence from Variation in the Proportion of Low Achievers in the Classroom," Economic Journal, Royal Economic Society, vol. 122(559), pages 208-237, March.
    6. Ficano, Carlena Cochi, 2012. "Peer effects in college academic outcomes – Gender matters!," Economics of Education Review, Elsevier, vol. 31(6), pages 1102-1115.
    7. Jason M. Fletcher, 2010. "Social interactions and smoking: evidence using multiple student cohorts, instrumental variables, and school fixed effects," Health Economics, John Wiley & Sons, Ltd., vol. 19(4), pages 466-484, April.
    8. Victor Lavy & Olmo Silva & Felix Weinhardt, 2009. "The Good, the Bad and the Average: Evidence on the Scale and Nature of Ability Peer Effects in Schools," NBER Working Papers 15600, National Bureau of Economic Research, Inc.
    9. Robert Bifulco & Delia Furtado & Stephen L. Ross, 2009. "Why Are Ghettos Bad? Examining the Role of the Metropolitan Educational Environment," Working papers 2009-30, University of Connecticut, Department of Economics.

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    More about this item

    Keywords

    Education; Peer Effects; Cohort Study; Substance Abuse;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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