IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-13-00788.html
   My bibliography  Save this article

Network attributes and peer effects

Author

Listed:
  • Xu Lin

    (Wayne State University)

Abstract

This paper investigates how network attributes affect the strength of peer influences in adolescents' academic achievement and smoking behaviors. The results indicate that for both GPA and smoking, endogenous peer effects are stronger for network groups with larger size, higher network density or reciprocal link density, while endogenous interaction effects are weaker for network groups with larger non-white or black proportion. And the impact of gender composition on the strength of peer effects is small. Grouping all network groups together may mask the important heterogeneity of peer influences along these dimensions.

Suggested Citation

  • Xu Lin, 2014. "Network attributes and peer effects," Economics Bulletin, AccessEcon, vol. 34(3), pages 2060-2079.
    • Handle: RePEc:ebl:ecbull:eb-13-00788
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2014/Volume34/EB-14-V34-I3-P191.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Fortin, Bernard & Yazbeck, Myra, 2015. "Peer effects, fast food consumption and adolescent weight gain," Journal of Health Economics, Elsevier, vol. 42(C), pages 125-138.
    3. 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.
    4. Lundborg, Petter, 2006. "Having the wrong friends? Peer effects in adolescent substance use," Journal of Health Economics, Elsevier, vol. 25(2), pages 214-233, March.
    5. Vincent Boucher & Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2014. "Do Peers Affect Student Achievement? Evidence From Canada Using Group Size Variation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 91-109, January.
    6. 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.
    7. Rafael Lalive & M. Alejandra Cattaneo, 2009. "Social Interactions and Schooling Decisions," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 457-477, August.
    8. Duflo, Esther & Saez, Emmanuel, 2002. "Participation and investment decisions in a retirement plan: the influence of colleagues' choices," Journal of Public Economics, Elsevier, vol. 85(1), pages 121-148, July.
    9. Powell, Lisa M. & Tauras, John A. & Ross, Hana, 2005. "The importance of peer effects, cigarette prices and tobacco control policies for youth smoking behavior," Journal of Health Economics, Elsevier, vol. 24(5), pages 950-968, September.
    10. Peter Kooreman & Adriaan R. Soetevent, 2007. "A discrete-choice model with social interactions: with an application to high school teen behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 599-624.
    11. 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.
    12. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    13. Kooreman, P., 2007. "Time, money, peers, and parents : Some data and theories on teenage behavior," Other publications TiSEM 05026f0a-e418-4eb8-a483-7, Tilburg University, School of Economics and Management.
    14. Ryo Nakajima, 2007. "Measuring Peer Effects on Youth Smoking Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 897-935.
    15. 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.
    16. Gustavo J. Bobonis & Frederico Finan, 2009. "Neighborhood Peer Effects in Secondary School Enrollment Decisions," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 695-716, November.
    17. Lee, Lung-fei, 2007. "Identification and estimation of econometric models with group interactions, contextual factors and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 333-374, October.
    18. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    19. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
    20. Peter Kooreman, 2007. "Time, money, peers, and parents; some data and theories on teenage behavior," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 9-33, February.
    21. Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
    22. Lung-fei Lee & Xiaodong Liu & Xu Lin, 2010. "Specification and estimation of social interaction models with network structures," Econometrics Journal, Royal Economic Society, vol. 13(2), pages 145-176, July.
    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. Shooshan Danagoulian, 2018. "Taking the hassle out of wellness: Do peers and health matter?," International Journal of Health Economics and Management, Springer, vol. 18(1), pages 1-23, March.
    2. Sanjurjo, Adam, 2017. "Search with multiple attributes: Theory and empirics," Games and Economic Behavior, Elsevier, vol. 104(C), pages 535-562.

    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. Hsieh, Chih-Sheng & Lin, Xu, 2017. "Gender and racial peer effects with endogenous network formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 135-147.
    2. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    3. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    4. Xu Lin, 2015. "Utilizing spatial autoregressive models to identify peer effects among adolescents," Empirical Economics, Springer, vol. 49(3), pages 929-960, November.
    5. Clark, Andrew E. & Loheac, Youenn, 2007. ""It wasn't me, it was them!" Social influence in risky behavior by adolescents," Journal of Health Economics, Elsevier, vol. 26(4), pages 763-784, July.
    6. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    7. Gioia De Melo, 2011. "Peer effects identified through social networks. Evidence from Uruguayan schools," Department of Economics University of Siena 627, Department of Economics, University of Siena.
    8. Jason Fletcher, 2012. "Peer influences on adolescent alcohol consumption: evidence using an instrumental variables/fixed effect approach," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1265-1286, October.
    9. Chih‐Sheng Hsieh & Xu Lin, 2021. "Social interactions and social preferences in social networks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 165-189, March.
    10. 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.
    11. Duncan McVicar & Julie Moschion & Chris Ryan, 2013. "Right Peer, Right Now? Endogenous Peer Effects and Achievement in Victorian Primary Schools," Melbourne Institute Working Paper Series wp2013n22, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    12. Chung, Bobby W., 2020. "Peers’ parents and educational attainment: The exposure effect," Labour Economics, Elsevier, vol. 64(C).
    13. Guo, Juncong & Qu, Xi, 2022. "Competition in household human capital investments: Strength, motivations and consequences," Journal of Development Economics, Elsevier, vol. 158(C).
    14. Ana Balsa & Carlos Díaz, 2018. "Social interactions in health behaviors and conditions," Documentos de Trabajo/Working Papers 1802, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    15. Lin, Xu, 2014. "Peer effects in adolescents' delinquent behaviors: Evidence from a binary choice network model," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 73-92.
    16. 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.
    17. Clifton-Sprigg, Joanna, 2015. "Educational spillovers and parental migration," Labour Economics, Elsevier, vol. 34(C), pages 64-75.
    18. 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).
    19. Jose-Alberto Guerra & Myra Mohnen, 2022. "Multinomial Choice with Social Interactions: Occupations in Victorian London," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 736-747, October.
    20. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    peer effect; network size; network density; network homogeneity;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J1 - Labor and Demographic Economics - - Demographic Economics

    Statistics

    Access and download statistics

    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:ebl:ecbull:eb-13-00788. 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: John P. Conley (email available below). General contact details of provider: .

    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.