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Social ties within school classes –- the roles of gender, ethnicity, and having older siblings

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Author Info
Adriaan R. Soetevent (University of Amsterdam)
Peter Kooreman (University of Groningen)

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Abstract

In this paper we identify the lines along which social ties between high school teenagers are primarily formed. To this end, we introduce interaction weights between pupils in the same school class that are a function of exogenous individual background characteristics, like gender, ethnicity, and having older siblings. The resulting model with endogenous interactions and school specific fixed effects is estimated using data from the Dutch National School Youth Survey (NSYS), a survey in which in principle all students in a sampled class are interviewed. By combining the 1992, 1996, 1999 and 2001 NSYS data, we are able identify trends in social relationships of teenagers. We find that the roles that gender and ethnicity play in how teenagers interact varies strongly across different types of behavior. For example, going out shows strong within-ethnicity interactions, while expenditures on cell phone and on clothing exhibit mainly between-girls interactions. Having older siblings has a minor effect on within school class social interactions. There is weak evidence of decreased ethnic segregation within school classes during the decade considered.

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Publisher Info
Paper provided by EconWPA in its series Microeconomics with number 0505004.

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Length: 27 pages
Date of creation: 18 May 2005
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Handle: RePEc:wpa:wuwpmi:0505004

Note: Type of Document - pdf; pages: 27
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Web page: http://129.3.20.41

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Related research
Keywords: teenage behavior; social interactions; segregation; time use; expenditures;

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Find related papers by JEL classification:
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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References listed on IDEAS
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  1. repec:att:wimass:1920218 is not listed on IDEAS
  2. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Michael A. Boozer & Stephen E. Cacciola, 2001. "Inside the 'Black Box' of Project STAR: Estimation of Peer Effects Using Experimental Data," Working Papers 832, Economic Growth Center, Yale University. [Downloadable!]
  4. Bruce Sacerdote, 2001. "Peer Effects With Random Assignment: Results For Dartmouth Roommates," The Quarterly Journal of Economics, MIT Press, vol. 116(2), pages 681-704, May. [Downloadable!] (restricted)
  5. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," Natural Field Experiments 0036, The Field Experiments Website. [Downloadable!]
  6. Jens Ludwig & Greg J. Duncan & Paul Hirschfield, 2001. "Urban Poverty And Juvenile Crime: Evidence From A Randomized Housing-Mobility Experiment," The Quarterly Journal of Economics, MIT Press, vol. 116(2), pages 655-679, May. [Downloadable!] (restricted)
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  9. Kooreman, Peter & Soetevent, Adriaan, 2002. "A discrete choice model with social interactions: an analysis of high school teen behavior," CCSO Working Papers 200214, University of Groningen, CCSO Centre for Economic Research. [Downloadable!]
  10. Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May. [Downloadable!] (restricted)
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  11. Arcidiacono, Peter & Nicholson, Sean, 2005. "Peer effects in medical school," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 327-350, February. [Downloadable!] (restricted)
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  12. David J. Zimmerman, 2003. "Peer Effects in Academic Outcomes: Evidence from a Natural Experiment," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 9-23, November. [Downloadable!] (restricted)
  13. Evans, William N & Oates, Wallace E & Schwab, Robert M, 1992. "Measuring Peer Group Effects: A Study of Teenage Behavior," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 966-91, October. [Downloadable!] (restricted)
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  15. Peter Kooreman, 2007. "Time, money, peers, and parents; some data and theories on teenage behavior," Journal of Population Economics, Springer, vol. 20(1), pages 9-33, February. [Downloadable!] (restricted)
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  16. Andrew E. Clark & Youenn Lohéac, 2005. ""It Wasn’t Me, It Was Them!" Social Influence in Risky Behavior by Adolescents," IZA Discussion Papers 1573, Institute for the Study of Labor (IZA). [Downloadable!]
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  17. Edward L. Glaeser & Jose Scheinkman, 2000. "Non-Market Interactions," NBER Working Papers 8053, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  18. Esther Duflo & Emmanuel Saez, 2003. "The Role Of Information And Social Interactions In Retirement Plan Decisions: Evidence From A Randomized Experiment," The Quarterly Journal of Economics, MIT Press, vol. 118(3), pages 815-842, August. [Downloadable!] (restricted)
    Other versions:
  19. repec:att:wimass:199127 is not listed on IDEAS
  20. Philip Oreopoulos, 2003. "The Long-Run Consequences Of Living In A Poor Neighborhood," The Quarterly Journal of Economics, MIT Press, vol. 118(4), pages 1533-1575, November. [Downloadable!] (restricted)
    Other versions:
  21. George A. Akerlof & Rachel E. Kranton, 2002. "Identity and Schooling: Some Lessons for the Economics of Education," Journal of Economic Literature, American Economic Association, vol. 40(4), pages 1167-1201, December.
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