IDEAS home Printed from https://ideas.repec.org/p/tul/wpaper/2412.html
   My bibliography  Save this paper

Do "Birds of a Feather Flock Together?" Gender Differences in Decision-making Homophily of Friendships

Author

Listed:
  • James Alm

    (Tulane University)

  • Weizheng Lai

    (University of Maryland, College Park)

  • Xun Li

    (Wuhan University)

  • Peiwen Yuan

    (Peking University)

Abstract

Homophily the tendency of individuals to associate with others who are similar is considered as a key determinant of friendships. Most studies focus on the homophily of friendships as measured by demographic characteristics. In this paper, we explore patterns of homophily as measured by risk preferences and social preferences, both of which are elicited from a large-scale laboratory experiment. Our focus is on gender differences in homophily, which are examined by testing for behavioral gaps in friendship formation within a pair of same-gender friends in a series of decision-making tasks. We find significant gender differences in homophily: among males, friendship appears along with similar patterns in social decision-making, while females are more likely to become friends with those who exhibit different patterns of decision-making. Our findings are consistent across various robustness checks. We conclude by proposing potential explanations for these gender differences.

Suggested Citation

  • James Alm & Weizheng Lai & Xun Li & Peiwen Yuan, 2024. "Do "Birds of a Feather Flock Together?" Gender Differences in Decision-making Homophily of Friendships," Working Papers 2412, Tulane University, Department of Economics.
  • Handle: RePEc:tul:wpaper:2412
    as

    Download full text from publisher

    File URL: http://repec.tulane.edu/RePEc/pdf/tul2412.pdf
    File Function: First Version, December 2024
    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. Block, Per & Grund, Thomas, 2014. "Multidimensional homophily in friendship networks," Network Science, Cambridge University Press, vol. 2(2), pages 189-212, August.
    3. Yilan Xu & Linlin Fan, 2018. "Diverse friendship networks and heterogeneous peer effects on adolescent misbehaviors," Education Economics, Taylor & Francis Journals, vol. 26(3), pages 233-252, May.
    4. 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.
    5. James Alm & Kim M. Bloomquist & Michael McKee, 2017. "When You Know Your Neighbour Pays Taxes: Information, Peer Effects and Tax Compliance," Fiscal Studies, Institute for Fiscal Studies, vol. 38, pages 587-613, December.
    6. Michael Bernabé Aguilera, 2002. "The Impact of Social Capital on Labor Force Participation: Evidence from the 2000 Social Capital Benchmark Survey," Social Science Quarterly, Southwestern Social Science Association, vol. 83(3), pages 853-874, September.
    7. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    8. James Alm, 2019. "What Motivates Tax Compliance?," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 353-388, April.
    9. Landini, Fabio & Montinari, Natalia & Pin, Paolo & Piovesan, Marco, 2016. "Friendship network in the classroom: Parents bias on peer effects," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 56-73.
    10. Franzen, Axel & Pointner, Sonja, 2012. "Anonymity in the dictator game revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 74-81.
    11. Buchan, Nancy R. & Croson, Rachel T.A. & Solnick, Sara, 2008. "Trust and gender: An examination of behavior and beliefs in the Investment Game," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 466-476, December.
    12. Charness, Gary & Gneezy, Uri, 2012. "Strong Evidence for Gender Differences in Risk Taking," Journal of Economic Behavior & Organization, Elsevier, vol. 83(1), pages 50-58.
    13. Antoni Calvó-Armengol & Matthew O. Jackson, 2004. "The Effects of Social Networks on Employment and Inequality," American Economic Review, American Economic Association, vol. 94(3), pages 426-454, June.
    14. James Alm & Kim M. Bloomquist & Michael McKee, 2017. "When You Know Your Neighbour Pays Taxes: Information, Peer Effects and Tax Compliance," Fiscal Studies, Institute for Fiscal Studies, vol. 38, pages 587-613, December.
    15. Ortmann, Andreas & Tichy, Lisa K., 1999. "Gender differences in the laboratory: evidence from prisoner's dilemma games," Journal of Economic Behavior & Organization, Elsevier, vol. 39(3), pages 327-339, July.
    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. Lohse, Tim & Simon, Sven A., 2021. "Compliance in teams – Implications of joint decisions and shared consequences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    2. Nathalie Etchart-vincent & Marisa Ratto & Emmanuelle Taugourdeau, 2024. "Why should I comply with taxes if others don't?: an experimental study testing informational effects," Working Papers hal-04635966, HAL.
    3. Dariel, Aurelie & Riedl, Arno & Siegenthaler, Simon, 2021. "Referral hiring and wage formation in a market with adverse selection," Games and Economic Behavior, Elsevier, vol. 130(C), pages 109-130.
    4. Miloš Fišar & Tommaso Reggiani & Fabio Sabatini & Jiří Špalek, 2020. "Media Bias and Tax Compliance: Experimental Evidence," MUNI ECON Working Papers 2020-01, Masaryk University, revised Feb 2023.
    5. Miloš Fišar & Tommaso Reggiani & Fabio Sabatini & Jiří Špalek, 2022. "Media negativity bias and tax compliance: experimental evidence," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(5), pages 1160-1212, October.
    6. Julio López-Laborda & Jaime Vallés-Giménez & Anabel Zárate-Marco, 2021. "Personal Income Tax Compliance at the Regional Level: The Role of Persistence, Neighborhood, and Decentralization," International Regional Science Review, , vol. 44(2), pages 289-317, March.
    7. Lorenzo Cappellari & Konstantinos Tatsiramos, 2010. "Friends’ Networks and Job Finding Rates," DISCE - Quaderni dell'Istituto di Economia dell'Impresa e del Lavoro ieil0059, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    8. Perodaud, Maxime & Hanaki, Nobuyuki & Yamada, Takashi, 2022. "An experimental analysis of gender discrimination in a credence goods market," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    9. Chen, Josie I. & Foster, Andrew & Putterman, Louis, 2019. "Identity, trust and altruism: An experiment on preferences and microfinance lending," European Economic Review, Elsevier, vol. 120(C).
    10. Patacchini, Eleonora & Zenou, Yves, 2012. "Ethnic networks and employment outcomes," Regional Science and Urban Economics, Elsevier, vol. 42(6), pages 938-949.
    11. Picard, Pierre M. & Zenou, Yves, 2018. "Urban spatial structure, employment and social ties," Journal of Urban Economics, Elsevier, vol. 104(C), pages 77-93.
    12. Dariel, Aurelie & Riedl, Arno & Siegenthaler, Simon, 2019. "Hiring Through Referrals in a Labor Market with Adverse Selection," Research Memorandum 009, Maastricht University, Graduate School of Business and Economics (GSBE).
    13. James Alm & Kay Blaufus & Martin Fochmann & Erich Kirchler & Peter N. C. Mohr & Nina E. Olson & Benno Torgler, 2020. "Tax Policy Measures to Combat the SARS-CoV-2 Pandemic and Considerations to Improve Tax Compliance: A Behavioral Perspective," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 76(4), pages 396-428.
    14. James Alm & Matthias Kasper, 2020. "Laboratory Experiments," Working Papers 2008, Tulane University, Department of Economics.
    15. Simon Burgess & Eleanor Sanderson & Marcela Umana-Aponte, 2011. "School ties: An analysis of homophily in an adolescent friendship network," The Centre for Market and Public Organisation 11/267, The Centre for Market and Public Organisation, University of Bristol, UK.
    16. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    17. Dezső, Linda & Alm, James & Kirchler, Erich, 2022. "Inequitable wages and tax evasion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    18. Kogler, Christoph & Olsen, Jerome & Bogaers, Rebecca I., 2020. "Enhanced anonymity in tax experiments does not affect compliance," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 390-398.
    19. Gamannossi degl’Innocenti, Duccio & Rablen, Matthew D., 2020. "Tax evasion on a social network," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 79-91.
    20. 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.

    More about this item

    Keywords

    Homophily; Friendship Formation; Risk Preferences; Social Preferences; Gender Differences;
    All these keywords.

    JEL classification:

    • 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
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:tul:wpaper:2412. 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: Kerui Geng (email available below). General contact details of provider: https://edirc.repec.org/data/detulus.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.