IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0277.html
   My bibliography  Save this article

An empirical analysis of students’ friendship ties formation

Author

Listed:
  • Krekhovets, Ekaterina

    (National Research University Higher School of Economics, Nizhny Novgorod, Russian Federation)

  • Poldin, Oleg

    (National Research University Higher School of Economics, Nizhny Novgorod, Russian Federation)

Abstract

We consider the structure of social network of university students, and analyze factors that lead to the personal communication (friendship) network formation. Using the data from student survey and administrative information, we estimate the econometric models that assume homophily and propinquity effects on the likelihood of being friends. Specifically, we estimate linear and logistic probability models with and without fixed effects. The results confirm the significance of such friendship formation factors as sharing the same study group, living in dormitory, similar academic achievement and having the same gender. The probability of a tie increases with the number of similar attributes

Suggested Citation

  • Krekhovets, Ekaterina & Poldin, Oleg, 2015. "An empirical analysis of students’ friendship ties formation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 40(4), pages 49-63.
    • Handle: RePEc:ris:apltrx:0277
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2015_4_49-63.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Marmaros & Bruce Sacerdote, 2006. "How Do Friendships Form?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(1), pages 79-119.
    2. Adriaan R Soetevent & Peter Kooreman, 2005. "Social Ties within School Classes: The Roles of Gender, Ethnicity, and Having Older Siblings," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 21(3), pages 373-391, Autumn.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    4. Víctor Elías & Lucas Ronconi & Julio Elías, 2007. "Discrimination and Social Networks: Popularity among High School Students in Argentina," Research Department Publications 3238, Inter-American Development Bank, Research Department.
    5. Víctor Elías & Lucas Ronconi & Julio Elías, 2007. "Discrimination and Social Networks: Popularity among High School Students in Argentina," Research Department Publications 3238, Inter-American Development Bank, Research Department.
    6. Mayer, Adalbert & Puller, Steven L., 2008. "The old boy (and girl) network: Social network formation on university campuses," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 329-347, February.
    7. David Dekker & David Krackhardt & Tom Snijders, 2007. "Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 563-581, December.
    8. Diliara Valeeva & Oleg Poldin & Maria Yudkevich, 2013. "Friendly Relationships and Relationships of Assistance at a University," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 70-84.
    Full references (including those not matched with items on IDEAS)

    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. Ekaterina Krekhovets & Oleg Poldin, 2013. "Students' Social Media: Formation Factors and Influence on Studies," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 127-144.
    2. Peter Arcidiacono & Esteban Aucejo & Andrew Hussey & Kenneth Spenner, 2013. "Racial Segregation Patterns in Selective Universities," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 1039-1060.
    3. repec:mod:depeco:0002 is not listed on IDEAS
    4. Murat, Marina, 2014. "Out of Sight, Not Out of Mind. Education Networks and International Trade," World Development, Elsevier, vol. 58(C), pages 53-66.
    5. Yann Bramoullé & Bernard Fortin, 2009. "The Econometrics of Social Networks," Cahiers de recherche 0913, CIRPEE.
    6. Murat Marina, 2017. "International Students and Investments Abroad," Global Economy Journal, De Gruyter, vol. 17(1), pages 1-33, March.
    7. Yulia Evsyukova & Felix Rusche & Wladislaw Mill, 2023. "LinkedOut? A Field Experiment on Discrimination in Job Network Formation," CRC TR 224 Discussion Paper Series crctr224_2023_482v2, University of Bonn and University of Mannheim, Germany, revised Oct 2024.
    8. Maximilian Goethner & Michael Wyrwich, 2020. "Cross-faculty proximity and academic entrepreneurship: the role of business schools," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1016-1062, August.
    9. Braz Camargo & Todd Stinebrickner & Ralph Stinebrickner, 2007. "Evidence about the Potential Role for Affirmative Action in Higher Education," NBER Working Papers 13342, National Bureau of Economic Research, Inc.
    10. James R. Barth & Sunghoon Joo & Kang‐Bok Lee, 2022. "Bank–client cross‐ownership of bank stocks: A network analysis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(2), pages 280-312, June.
    11. Eisenberg, Daniel & Golberstein, Ezra & Whitlock, Janis L., 2014. "Peer effects on risky behaviors: New evidence from college roommate assignments," Journal of Health Economics, Elsevier, vol. 33(C), pages 126-138.
    12. Baker, Sara & Mayer, Adalbert & Puller, Steven L., 2011. "Do more diverse environments increase the diversity of subsequent interaction? Evidence from random dorm assignment," Economics Letters, Elsevier, vol. 110(2), pages 110-112, February.
    13. Marina Murat, 2014. "Soft, hard or smart power? International students and investments abroad," Center for Economic Research (RECent) 107, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    14. Fletcher, Jason M. & Ross, Stephen L. & Zhang, Yuxiu, 2020. "The consequences of friendships: Evidence on the effect of social relationships in school on academic achievement," Journal of Urban Economics, Elsevier, vol. 116(C).
    15. Girard, Yann & Hett, Florian & Schunk, Daniel, 2015. "How individual characteristics shape the structure of social networks," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 197-216.
    16. Baul, Tushi, 2013. "Self-selection and peer-effects in experimental labor markets," ISU General Staff Papers 201301010800004327, Iowa State University, Department of Economics.
    17. David G. Blanchflower & Donn. L. Feir, 2023. "Native Americans’ experience of chronic distress in the USA," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 885-909, April.
    18. Diemer, Andreas, 2022. "Endogenous peer effects in diverse friendship networks: Evidence from Swedish classrooms," Economics of Education Review, Elsevier, vol. 89(C).
    19. 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.
    20. Syed Muhammad Ali Abbas, 2013. "An agent-based model of the development of friendship links within Facebook," Computational and Mathematical Organization Theory, Springer, vol. 19(2), pages 232-252, June.
    21. Weinberg, Bruce A., 2013. "Group design with endogenous associations," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 411-421.

    More about this item

    Keywords

    social networks; friendship networks; social capital; higher education; binary choice model;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    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:ris:apltrx:0277. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.