[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/mse/cesdoc/21011.html
   My bibliography  Save this paper

Homophily, Peer Effects, and Dishonesty

Author

Abstract
If individuals tend to behave like their peers, is it because of conformity, that is, the preference of people to align behavior with the behavior of their peers; homophily, that is, the tendency of people to bond with similar others; or both? We address this question in the context of an ethical dilemma. Using a peer effect model allowing for homophily, we designed a real-effort laboratory experiment in which individuals could misreport their performance to earn more. Our results reveal a preference for conformity and for homophily in the selection of peers, but only among participants who were cheating in isolation. The size of peer effects is similar when identical peers were randomly assigned and when they were selected by individuals. We thus jointly reject the presence of a self-selection bias in the peer effect estimates and of a link strength effect

Suggested Citation

  • Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2021. "Homophily, Peer Effects, and Dishonesty," Documents de travail du Centre d'Economie de la Sorbonne 21011, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Handle: RePEc:mse:cesdoc:21011
    as

    Download full text from publisher

    File URL: http://mse.univ-paris1.fr/pub/mse/CES2021/21011.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bramoulle, Yann & Galeotti, Andrea & Rogers, Brian (ed.), 2016. "The Oxford Handbook of the Economics of Networks," OUP Catalogue, Oxford University Press, number 9780199948277.
    2. Edward L. Glaeser & Bruce Sacerdote & José A. Scheinkman, 1996. "Crime and Social Interactions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 507-548.
    3. Gavrilova, Evelina, 2019. "A partner in crime: Assortative matching and bias in the crime market," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 598-612.
    4. Jens Ludwig & Greg J. Duncan & Paul Hirschfield, 2001. "Urban Poverty and Juvenile Crime: Evidence from a Randomized Housing-Mobility Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 655-679.
    5. Mathieu Lefebvre & Pierre Pestieau & Arno Riedl & Marie Villeval, 2015. "Tax evasion and social information: an experiment in Belgium, France, and the Netherlands," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(3), pages 401-425, June.
    6. Agnes Bäker & Mario Mechtel, 2019. "The Impact Of Peer Presence On Cheating," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 792-812, April.
    7. Scott E. Carrell & Frederick V. Malmstrom & James E. West, 2008. "Peer Effects in Academic Cheating," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    8. Fortin, Bernard & Lacroix, Guy & Villeval, Marie-Claire, 2007. "Tax evasion and social interactions," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2089-2112, December.
    9. Uri Gneezy & Agne Kajackaite & Joel Sobel, 2018. "Lying Aversion and the Size of the Lie," American Economic Review, American Economic Association, vol. 108(2), pages 419-453, February.
    10. Paul Goldsmith-Pinkham & Guido W. Imbens, 2013. "Social Networks and the Identification of Peer Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 253-264, July.
    11. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2006. "Who's Who in Networks. Wanted: The Key Player," Econometrica, Econometric Society, vol. 74(5), pages 1403-1417, September.
    12. Mark Egan & Gregor Matvos & Amit Seru, 2019. "The Market for Financial Adviser Misconduct," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 233-295.
    13. 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.
    14. George A. Akerlof & Rachel E. Kranton, 2000. "Economics and Identity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 715-753.
    15. Currarini, Sergio & Mengel, Friederike, 2016. "Identity, homophily and in-group bias," European Economic Review, Elsevier, vol. 90(C), pages 40-55.
    16. Francesco Drago & Friederike Mengel & Christian Traxler, 2020. "Compliance Behavior in Networks: Evidence from a Field Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 96-133, April.
    17. Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781316510520, September.
    18. Yann Bramoull? & Rachel Kranton & Martin D'Amours, 2014. "Strategic Interaction and Networks," American Economic Review, American Economic Association, vol. 104(3), pages 898-930, March.
    19. Sergio Currarini & Matthew O. Jackson & Paolo Pin, 2009. "An Economic Model of Friendship: Homophily, Minorities, and Segregation," Econometrica, Econometric Society, vol. 77(4), pages 1003-1045, July.
    20. Andreas Diekmann & Wojtek Przepiorka & Heiko Rauhut, 2015. "Lifting the veil of ignorance: An experiment on the contagiousness of norm violations," Rationality and Society, , vol. 27(3), pages 309-333, August.
    21. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    22. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2013. "From Natural Variation to Optimal Policy? The Importance of Endogenous Peer Group Formation," Econometrica, Econometric Society, vol. 81(3), pages 855-882, May.
    23. Fosgaard, Toke Reinholt & Hansen, Lars Gaarn & Piovesan, Marco, 2013. "Separating Will from Grace: An experiment on conformity and awareness in cheating," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 279-284.
    24. Schrag, Joel & Scotchmer, Suzanne, 1997. "The self-reinforcing nature of crime," International Review of Law and Economics, Elsevier, vol. 17(3), pages 325-335, September.
    25. Yann Bramoullé & Andrea Galeotti & Brian Rogers, 2016. "The Oxford Handbook of the Economics of Networks," Post-Print hal-03572533, HAL.
    26. Heiko Rauhut, 2013. "Beliefs about Lying and Spreading of Dishonesty: Undetected Lies and Their Constructive and Destructive Social Dynamics in Dice Experiments," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-8, November.
    27. Ushchev, Philip & Zenou, Yves, 2020. "Social norms in networks," Journal of Economic Theory, Elsevier, vol. 185(C).
    28. Jennifer Flashman & Diego Gambetta, 2014. "Thick as thieves: Homophily and trust among deviants," Rationality and Society, , vol. 26(1), pages 3-45, February.
    29. Benjamin Golub & Matthew O. Jackson, 2012. "How Homophily Affects the Speed of Learning and Best-Response Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1287-1338.
    30. Anna Piil Damm & Christian Dustmann, 2014. "Does Growing Up in a High Crime Neighborhood Affect Youth Criminal Behavior?," American Economic Review, American Economic Association, vol. 104(6), pages 1806-1832, June.
    31. Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108400022, September.
    32. Kai A. Konrad & Tim Lohse & Sven A. Simon, 2021. "Pecunia non olet: on the self-selection into (dis)honest earning opportunities," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1105-1130, December.
    33. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    34. Koenig, Michael & Hsieh, Chih-Sheng & Liu, Xiaodong & Zimmermann, Christian, 2020. "Collaboration in Bipartite Networks, with an Application to Coauthorship Networks," CEPR Discussion Papers 15195, C.E.P.R. Discussion Papers.
    35. Boucher, Vincent, 2016. "Conformism and self-selection in social networks," Journal of Public Economics, Elsevier, vol. 136(C), pages 30-44.
    36. Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108400008, September.
    37. 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.
    38. David Pascual-Ezama & Derek Dunfield & Beatriz Gil-Gómez de Liaño & Drazen Prelec, 2015. "Peer Effects in Unethical Behavior: Standing or Reputation?," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-14, April.
    39. Eleonora Patacchini & Yves Zenou, 2012. "Juvenile Delinquency and Conformism," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 28(1), pages 1-31.
    40. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2017. "Heterogeneous peer effects in education," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 190-227.
    41. Díaz, Carlos & Patacchini, Eleonora, 2020. "Parents, Neighbors and Youth Crime," IZA Discussion Papers 13906, Institute of Labor Economics (IZA).
    42. Innes Robert & Mitra Arnab, 2013. "Is Dishonesty Contagious?," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 722-734, January.
    43. Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108414982, September.
    44. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    45. Sinan Aral & Dylan Walker, 2014. "Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment," Management Science, INFORMS, vol. 60(6), pages 1352-1370, June.
    46. Chih‐Sheng Hsieh & Lung Fei Lee, 2016. "A Social Interactions Model with Endogenous Friendship Formation and Selectivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 301-319, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Homophily, Peer Effects, and Dishonesty
      by maximorossi in NEP-LTV blog on 2021-05-21 20:05:50

    Citations

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


    Cited by:

    1. Marie Claire Villeval, 2019. "Comportements (non) éthiques et stratégies morales," Revue économique, Presses de Sciences-Po, vol. 70(6), pages 1021-1046.
    2. Eugen Dimant & Shaul Shalvi, 2022. "Meta-Nudging Honesty: Past, Present, and Future of the Research Frontier," ECONtribute Discussion Papers Series 163, University of Bonn and University of Cologne, Germany.
    3. Soraperra, Ivan & van der Weele, Joël & Villeval, Marie Claire & Shalvi, Shaul, 2023. "The social construction of ignorance: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 138(C), pages 197-213.
    4. Benistant, Julien & Galeotti, Fabio & Villeval, Marie Claire, 2021. "The Distinct Impact of Information and Incentives on Cheating," IZA Discussion Papers 14014, Institute of Labor Economics (IZA).
    5. Kaiwen Leong & Huailu Li & Sharon Xuejing Zuo, 2024. "Cheating amongst youth offenders: How peers and their social status influence cheating," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 242-266, January.

    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. Charroin, Liza & Fortin, Bernard & Villeval, Marie Claire, 2022. "Peer effects, self-selection and dishonesty," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 618-637.
    2. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2022. "Peer effects, self-selection and dishonesty," Post-Print hal-03712450, HAL.
    3. Liza Charroin & Bernard Fortin & Marie Claire Villeval, 2022. "Peer effects, self-selection and dishonesty," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03712450, HAL.
    4. 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.
    5. Boucher, Vincent & Dedewanou, F. Antoine & Dufays, Arnaud, 2022. "Peer-induced beliefs regarding college participation," Economics of Education Review, Elsevier, vol. 90(C).
    6. Julien Benistant & Fabio Galeotti & Marie Claire Villeval, 2021. "The Distinct Impact of Information and Incentives on Cheating," Working Papers halshs-03110295, HAL.
    7. Ushchev, Philip & Zenou, Yves, 2020. "Social norms in networks," Journal of Economic Theory, Elsevier, vol. 185(C).
    8. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    9. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    10. Zenou, Yves & Lindquist, Matthew & Sauermann, Jan, 2015. "Network Effects on Worker Productivity," CEPR Discussion Papers 10928, C.E.P.R. Discussion Papers.
    11. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2017. "The Economic Consequences of Social-Network Structure," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 49-95, March.
    12. Arun Advani & Bansi Malde, 2014. "Empirical methods for networks data: social effects, network formation and measurement error," IFS Working Papers W14/34, Institute for Fiscal Studies.
    13. Díaz, Carlos & Patacchini, Eleonora & Verdier, Thierry & Zenou, Yves, 2021. "Leaders in juvenile crime," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 638-667.
    14. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers CWP52/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Chih-Sheng Hsieh & Stanley I. M. Ko & Jaromír Kovářík & Trevon Logan, 2018. "Non-Randomly Sampled Networks: Biases and Corrections," NBER Working Papers 25270, National Bureau of Economic Research, Inc.
    16. Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    17. Boucher, Vincent, 2020. "Equilibrium homophily in networks," European Economic Review, Elsevier, vol. 123(C).
    18. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    19. Timothy Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2015. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," NBER Working Papers 21418, National Bureau of Economic Research, Inc.
    20. Lindquist, Matthew J. & Zenou, Yves, 2019. "Crime and Networks: 10 Policy Lessons," IZA Discussion Papers 12534, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Peer Effects; Homophily; Dishonesty; Self-Selection Bias; Experiment;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mse:cesdoc:21011. 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: Lucie Label (email available below). General contact details of provider: https://edirc.repec.org/data/cenp1fr.html .

    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.