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Segregation within school classes: Detecting social clustering in choice data

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  • Fredrik Jansson
  • Gunn Elisabeth Birkelund
  • Mats Lillehagen

Abstract

We suggest a new method for detecting patterns of social clustering based on choice data. The method compares similar subjects within and between cohorts and thereby allows us to isolate the effect of peer influence from that of exogenous factors. Using this method on Norwegian register data, we address the question of whether students tend to cluster socially based on similar background. We find that common background correlates with making the same choices of curricular tracks, and that both exogenous preferences and peer influence matter. This applies to immigrant students from the same country, and, to some extent, to descendants of immigrants, but not to students from culturally similar countries. There are also small effects related to parents’ education and income.

Suggested Citation

  • Fredrik Jansson & Gunn Elisabeth Birkelund & Mats Lillehagen, 2020. "Segregation within school classes: Detecting social clustering in choice data," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-27, June.
    • Handle: RePEc:plo:pone00:0233677
    DOI: 10.1371/journal.pone.0233677
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    References listed on IDEAS

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    1. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    2. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
    3. George A. Akerlof, 1997. "Social Distance and Social Decisions," Econometrica, Econometric Society, vol. 65(5), pages 1005-1028, September.
    4. William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 235-260.
    5. George Leckie & Harvey Goldstein, 2015. "A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001–2010," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(2), pages 405-424, February.
    6. Ahmed, Ali M., 2007. "Group identity, social distance and intergroup bias," Journal of Economic Psychology, Elsevier, vol. 28(3), pages 324-337, June.
    7. George Leckie & Harvey Goldstein, 2009. "The limitations of using school league tables to inform school choice," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 835-851, October.
    8. Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2009. "New Evidence about Brown v. Board of Education: The Complex Effects of School Racial Composition on Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 349-383, July.
    9. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    10. Szulkin, Ryszard & Jonsson, Jan O., 2007. "Ethnic Segregation and Educational Outcomes in Swedish Comprehensive Schools," SULCIS Working Papers 2007:2, Stockholm University, Linnaeus Center for Integration Studies - SULCIS.
    11. Steven Goodreau & James Kitts & Martina Morris, 2009. "Birds of a feather, or friend of a friend? using exponential random graph models to investigate adolescent social networks," Demography, Springer;Population Association of America (PAA), vol. 46(1), pages 103-125, February.
    12. Bruno Wichmann & Minjie Chen & Wiktor Adamowicz, 2016. "Social Networks and Choice Set Formation in Discrete Choice Models," Econometrics, MDPI, vol. 4(4), pages 1-26, October.
    13. Inés Hardoy & Pål Schøne, 2013. "Does the Clustering of Immigrant Peers Affect the School Performance of Natives?," Journal of Human Capital, University of Chicago Press, vol. 7(1), pages 1-25.
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