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Peer Effects and Social Influence in Post-16 Educational Choice

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  • Stefan Speckesser
  • Sophie Hedges

Abstract

This paper investigates whether the educational choices that young people make after the completion of their GCSEs (at age 16) are influenced by their peers. More specifically, it takes advantage of the variation in peer groups that arises when students move from primary to secondary school in order to isolate the impact of secondary school peers on the choice of educational trajectory. These trajectories are broadly classified as academic, vocational, a combination of the two, or no education at all. In order to overcome the common problems associated with the identification of peer effects, the ability of the primary school peers of secondary school peers, who are not going to the same secondary school, is used as an instrument for secondary school peer group quality. These ‘peers of peers’ did not go to the same primary or secondary school as the individual of interest and so cannot have had any direct impact on them. Our results show that higher ability peers reduce the likelihood that an individual will choose a vocational course at age 16 after controlling for the individual’s own ability. We also find a very strong effect of household income on education choices, showing that the more deprived a student’s background is, the more likely they are to opt for a vocational trajectory over an academic one.

Suggested Citation

  • Stefan Speckesser & Sophie Hedges, 2017. "Peer Effects and Social Influence in Post-16 Educational Choice," National Institute of Economic and Social Research (NIESR) Discussion Papers 483, National Institute of Economic and Social Research.
  • Handle: RePEc:nsr:niesrd:483
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    References listed on IDEAS

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    1. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
    2. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    3. Silvia Mendolia & Alfredo R Paloyo & Ian Walker, 2018. "Heterogeneous effects of high school peers on educational outcomes," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 613-634.
    4. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    5. Trogdon, Justin G. & Nonnemaker, James & Pais, Joanne, 2008. "Peer effects in adolescent overweight," Journal of Health Economics, Elsevier, vol. 27(5), pages 1388-1399, September.
    6. Stinebrickner, Ralph & Stinebrickner, Todd R., 2006. "What can be learned about peer effects using college roommates? Evidence from new survey data and students from disadvantaged backgrounds," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1435-1454, September.
    7. 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.
    8. Kiss, David, 2013. "The impact of peer achievement and peer heterogeneity on own achievement growth: Evidence from school transitions," Economics of Education Review, Elsevier, vol. 37(C), pages 58-65.
    9. Amrei Lahno & Marta Serra-Garcia, 2015. "Peer effects in risk taking: Envy or conformity?," Journal of Risk and Uncertainty, Springer, vol. 50(1), pages 73-95, February.
    10. 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, February.
    11. 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.
    12. Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, May.
    13. Piero Cipollone & Alfonso Rosolia, 2007. "Social Interactions in High School: Lessons from an Earthquake," American Economic Review, American Economic Association, vol. 97(3), pages 948-965, June.
    14. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1239-1267.
    15. Vardardottir, Arna, 2013. "Peer effects and academic achievement: a regression discontinuity approach," Economics of Education Review, Elsevier, vol. 36(C), pages 108-121.
    16. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
    17. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, July.
    18. O. Poldin & D. Valeeva & M. Yudkevich, 2015. "Choice of specialization: do peers matter?," Applied Economics, Taylor & Francis Journals, vol. 47(44), pages 4728-4740, September.
    19. Patrick Bayer & Randi Hjalmarsson & David Pozen, 2009. "Building Criminal Capital behind Bars: Peer Effects in Juvenile Corrections," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 105-147.
    20. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    21. Victor Lavy & Olmo Silva & Felix Weinhardt, 2012. "The Good, the Bad, and the Average: Evidence on Ability Peer Effects in Schools," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 367-414.
    22. John Ashworth & J. Lynne Evans, 2001. "Modeling Student Subject Choice at Secondary and Tertiary Level: A Cross-Section Study," The Journal of Economic Education, Taylor & Francis Journals, vol. 32(4), pages 311-320, January.
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    Cited by:

    1. Hector Espinoza & Stefan Speckesser, 2019. "A Comparison of Earnings Related to Higher Level Vocational/Technical and Academic Education," National Institute of Economic and Social Research (NIESR) Discussion Papers 502, National Institute of Economic and Social Research.
    2. Emily McDool & Damon Morris, 2022. "Gender differences in science, technology, engineering and maths uptake and attainment in post‐16 education," Manchester School, University of Manchester, vol. 90(5), pages 473-499, September.
    3. Hector Espinoza & Stefan Speckesser, 2019. "A comparison of earnings related to higher level vocational/technical and academic education," CVER Research Papers 019, Centre for Vocational Education Research.
    4. Andy Dickerson & Konstantina Maragkou & Steven McIntosh, 2018. "The causal effect of secondary school peers on educational aspirations," CVER Research Papers 017, Centre for Vocational Education Research.

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    More about this item

    Keywords

    peer effects; instrumental variables; educational choice;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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