IDEAS home Printed from https://ideas.repec.org/a/eee/labeco/v44y2017icp192-217.html
   My bibliography  Save this article

Peer delinquency and student achievement in middle school

Author

Listed:
  • Ahn, Tom
  • Trogdon, Justin G.

Abstract

This paper studies the relationship between peer delinquency and student achievement in North Carolina middle schools. We define severity of the delinquent act using the associated punishment and calculate the average exposure to peer delinquency. Our identification strategy uses this new measure, a rich set of control variables including student, peer, and teacher characteristics, and a novel instrumental variable that captures the indirect social network impact of peer misbehavior. The instrument uses lagged delinquent behavior from students who went to 5th grade with peers of the index student's current 6th grade peers but not the index student him/herself. A 10 percent increase in the number of “major” incidents that a student at an average North Carolina school is exposed to was associated with a 6.2 percent of a standard deviation decrease in his or her standardized math score.

Suggested Citation

  • Ahn, Tom & Trogdon, Justin G., 2017. "Peer delinquency and student achievement in middle school," Labour Economics, Elsevier, vol. 44(C), pages 192-217.
  • Handle: RePEc:eee:labeco:v:44:y:2017:i:c:p:192-217
    DOI: 10.1016/j.labeco.2017.01.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092753711730060X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.labeco.2017.01.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. 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.
    3. Weili Ding & Steven F. Lehrer, 2007. "Do Peers Affect Student Achievement in China's Secondary Schools?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 300-312, May.
    4. 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.
    5. Matthew Neidell & Jane Waldfogel, 2010. "Cognitive and Noncognitive Peer Effects in Early Education," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 562-576, August.
    6. Figlio, David N., 2006. "Testing, crime and punishment," Journal of Public Economics, Elsevier, vol. 90(4-5), pages 837-851, May.
    7. Arcidiacono, Peter & Nicholson, Sean, 2005. "Peer effects in medical school," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 327-350, February.
    8. 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.
    9. Joshua D. Angrist & Kevin Lang, 2004. "Does School Integration Generate Peer Effects? Evidence from Boston's Metco Program," American Economic Review, American Economic Association, vol. 94(5), pages 1613-1634, December.
    10. 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.
    11. Thomas Ahn & Christopher Jepsen, 2015. "The effect of sharing a mother tongue with peers: evidence from North Carolina middle schools," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-21, December.
    12. 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.
    13. Kristoffersen, Jannie Helene Grøne & Krægpøth, Morten Visby & Nielsen, Helena Skyt & Simonsen, Marianne, 2015. "Disruptive school peers and student outcomes," Economics of Education Review, Elsevier, vol. 45(C), pages 1-13.
    14. Lefgren, Lars, 2004. "Educational peer effects and the Chicago public schools," Journal of Urban Economics, Elsevier, vol. 56(2), pages 169-191, September.
    15. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 125(1), pages 175-214.
    16. Josh Kinsler, 2013. "School Discipline: A Source Or Salve For The Racial Achievement Gap?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 355-383, February.
    17. Scott E. Carrell & Mark Hoekstra & Elira Kuka, 2018. "The Long-Run Effects of Disruptive Peers," American Economic Review, American Economic Association, vol. 108(11), pages 3377-3415, November.
    18. 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.
    19. 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.
    20. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    21. 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.
    22. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G., 2004. "Disruption versus Tiebout improvement: the costs and benefits of switching schools," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1721-1746, August.
    23. 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.
    24. Scott A. Imberman & Adriana D. Kugler & Bruce I. Sacerdote, 2012. "Katrina's Children: Evidence on the Structure of Peer Effects from Hurricane Evacuees," American Economic Review, American Economic Association, vol. 102(5), pages 2048-2082, August.
    25. David N. Figlio, 2007. "Boys Named Sue: Disruptive Children and Their Peers," Education Finance and Policy, MIT Press, vol. 2(4), pages 376-394, September.
    26. Boozer, Michael A. & Cacciola, Stephen E., 2001. "Inside the 'Black Box' of Project Star: Estimation of Peer Effects Using Experimental Data," Center Discussion Papers 28524, Yale University, Economic Growth Center.
    27. 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.
    28. Horoi, Irina & Ost, Ben, 2015. "Disruptive peers and the estimation of teacher value added," Economics of Education Review, Elsevier, vol. 49(C), pages 180-192.
    29. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    30. 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.
    31. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    32. Nikki L. Aikens & Oscar Barbarin, 2008. "Socioeconomic Differences in Reading Trajectories: The Contribution of Family, Neighborhood, and School Contexts," Mathematica Policy Research Reports 608955b1f0f64e11b18b4e2f8, Mathematica Policy Research.
    33. Tine Louise Mundbjerg Eriksen & Helena Skyt Nielsen & Marianne Simonsen, 2014. "Bullying in Elementary School," Journal of Human Resources, University of Wisconsin Press, vol. 49(4), pages 839-871.
    34. 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.
    35. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Feng, Shuaizhang & Kim, Jun Hyung & Yang, Zhe, 2021. "Effects of Childhood Peers on Personality Skills," GLO Discussion Paper Series 1004, Global Labor Organization (GLO).
    2. Zhao, Liqiu & Zhao, Zhong, 2021. "Disruptive Peers in the Classroom and Students’ Academic Outcomes: Evidence and Mechanisms," Labour Economics, Elsevier, vol. 68(C).
    3. Altindag, Duha T. & Baek, Deokrye & Lee, Hong & Merkle, Jessica, 2020. "Free lunch for all? The impact of universal school lunch on student misbehavior," Economics of Education Review, Elsevier, vol. 74(C).
    4. Songman Kang, 2023. "The Effect of High School Peers on Juvenile Delinquency," Korean Economic Review, Korean Economic Association, vol. 39, pages 137-173.
    5. Daniel Borbely & Markus Gehrsitz & Stuart McIntyre & Gennaro Rossi, 2022. "Does the Provision of Universal Free School Meals Improve School Attendance and Behaviour?," Working Papers 22-5, University of Strathclyde Business School, Department of Economics.
    6. Jürges, Hendrik & Makles, Anna M. & Naghavi, Arash & Schneider, Kerstin, 2022. "Melting pot kindergarten: The effect of linguistic diversity in early education," Labour Economics, Elsevier, vol. 75(C).
    7. Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2018. "Do migrant students affect local students’ academic achievements in urban China?," Economics of Education Review, Elsevier, vol. 63(C), pages 64-77.
    8. Wang, Haining & Zhu, Rong, 2021. "Social spillovers of China’s left-behind children in the classroom," Labour Economics, Elsevier, vol. 69(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Liqiu & Zhao, Zhong, 2021. "Disruptive Peers in the Classroom and Students’ Academic Outcomes: Evidence and Mechanisms," Labour Economics, Elsevier, vol. 68(C).
    2. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    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. Berlinski, Samuel & Busso, Matias & Giannola, Michele, 2023. "Helping struggling students and benefiting all: Peer effects in primary education," Journal of Public Economics, Elsevier, vol. 224(C).
    5. Steve Cicala & Roland G. Fryer, Jr. & Jörg L. Spenkuch, 2011. "A Roy Model of Social Interactions," NBER Working Papers 16880, National Bureau of Economic Research, Inc.
    6. Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2018. "Do migrant students affect local students’ academic achievements in urban China?," Economics of Education Review, Elsevier, vol. 63(C), pages 64-77.
    7. Feng, Shuaizhang & Kim, Jun Hyung & Yang, Zhe, 2021. "Effects of Childhood Peers on Personality Skills," IZA Discussion Papers 14952, Institute of Labor Economics (IZA).
    8. Stephen Gibbons & Shqiponja Telhaj, 2016. "Peer Effects: Evidence from Secondary School Transition in England," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 548-575, August.
    9. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    10. Ryan Yeung & Phuong Nguyen-Hoang, 2016. "Endogenous peer effects: Fact or fiction?," The Journal of Educational Research, Taylor & Francis Journals, vol. 109(1), pages 37-49, January.
    11. Auestad, May Linn, 2018. "The effect of low-achieving peers," Labour Economics, Elsevier, vol. 55(C), pages 178-214.
    12. Ruijs, Nienke, 2017. "The impact of special needs students on classmate performance," Economics of Education Review, Elsevier, vol. 58(C), pages 15-31.
    13. Vardardottir, Arna, 2013. "Peer effects and academic achievement: a regression discontinuity approach," Economics of Education Review, Elsevier, vol. 36(C), pages 108-121.
    14. 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.
    15. Wennberg, Karl & Norgren, Axel, 2021. "Models of Peer Effects in Education," Working Papers 21/3, Stockholm School of Economics, Center for Educational Leadership and Excellence.
    16. Alice Battiston & Sophie Hedges & Thomas Lazarowicz & Stefan Speckesser, 2020. "Peer Effects and Social Influence in Post-16 Educational Choice," CVER Research Papers 025, Centre for Vocational Education Research.
    17. Kang, Changhui, 2007. "Classroom peer effects and academic achievement: Quasi-randomization evidence from South Korea," Journal of Urban Economics, Elsevier, vol. 61(3), pages 458-495, May.
    18. Weina Zhou & Andrew J. Hill, 2023. "The spillover effects of parental verbal conflict on classmates' cognitive and noncognitive outcomes," Economic Inquiry, Western Economic Association International, vol. 61(2), pages 342-363, April.
    19. Horoi, Irina & Ost, Ben, 2015. "Disruptive peers and the estimation of teacher value added," Economics of Education Review, Elsevier, vol. 49(C), pages 180-192.
    20. Zhang, Hongliang, 2016. "The role of testing noise in the estimation of achievement-based peer effects," Economics of Education Review, Elsevier, vol. 54(C), pages 113-123.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:labeco:v:44:y:2017:i:c:p:192-217. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/labeco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.