IDEAS home Printed from https://ideas.repec.org/p/ibt/wpaper/wp062022.html
   My bibliography  Save this paper

#IamLGBT: Social Networks and Coming Out

Author

Listed:
  • Jan Gromadzki
  • PrzemysÅ‚aw Siemaszko

Abstract

In recent decades, the number of people disclosing their LGBTQ identity has increased substantially. We investigate the role of peer effects in coming out decisions using a model of a game social learning via networks. We use newly collected data from two waves of a spontaneous Twitter coming out campaign to test the prediction that observing peers coming out increases the probability of an individual disclosing their LGBTQ identity. We combine data on users' pre-campaign networks with the information on the exact time of costly coming out actions to construct a time-varying measure of the exposure to peers coming out as LGBTQ. A one standard deviation increase in the exposure increases the probability of coming out by almost 20%. We also exploit the non-overlapping network structure of users' peers groups as an exogenous source of variation, and we confirm the baseline results. We argue that the estimated effects are due to changes in beliefs about the costs of disclosure.

Suggested Citation

  • Jan Gromadzki & PrzemysÅ‚aw Siemaszko, 2022. "#IamLGBT: Social Networks and Coming Out," IBS Working Papers 06/2022, Instytut Badan Strukturalnych.
    • Handle: RePEc:ibt:wpaper:wp062022
    as

    Download full text from publisher

    File URL: https://ibs.org.pl/app/uploads/2022/10/GromadzkiSiemaszko_WP_06_2022.pdf
    File Function: English Version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tamara Broderick & Ryan Giordano & Rachael Meager, 2020. "An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?," Papers 2011.14999, arXiv.org, revised Jul 2023.
    2. Frankel, David M. & Morris, Stephen & Pauzner, Ady, 2003. "Equilibrium selection in global games with strategic complementarities," Journal of Economic Theory, Elsevier, vol. 108(1), pages 1-44, January.
    3. Leonardo Bursztyn & Georgy Egorov & Ruben Enikolopov & Maria Petrova, 2019. "Social Media and Xenophobia: Evidence from Russia," NBER Working Papers 26567, National Bureau of Economic Research, Inc.
    4. 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.
    5. Giacomo De Giorgi & Anders Frederiksen & Luigi Pistaferri, 2020. "Consumption Network Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(1), pages 130-163.
    6. Cheti Nicoletti & Kjell G. Salvanes & Emma Tominey, 2018. "The Family Peer Effect on Mothers' Labor Supply," American Economic Journal: Applied Economics, American Economic Association, vol. 10(3), pages 206-234, July.
    7. Gordon B. Dahl & Katrine V. L?ken & Magne Mogstad, 2014. "Peer Effects in Program Participation," American Economic Review, American Economic Association, vol. 104(7), pages 2049-2074, July.
    8. Giuliano, Paola, 2020. "Gender and Culture," CEPR Discussion Papers 15185, C.E.P.R. Discussion Papers.
    9. de Martí, Joan & Zenou, Yves, 2015. "Network games with incomplete information," Journal of Mathematical Economics, Elsevier, vol. 61(C), pages 221-240.
    10. Kudashvili, Nikoloz & Lergetporer, Philipp, 2022. "Minorities’ strategic response to discrimination: Experimental evidence," Journal of Public Economics, Elsevier, vol. 208(C).
    11. 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.
    12. Geijtenbeek, Lydia & Plug, Erik, 2018. "Is there a penalty for registered women? Is there a premium for registered men? Evidence from a sample of transsexual workers," European Economic Review, Elsevier, vol. 109(C), pages 334-347.
    13. Leonardo Bursztyn & Alessandra L. González & David Yanagizawa-Drott, 2020. "Misperceived Social Norms: Women Working Outside the Home in Saudi Arabia," American Economic Review, American Economic Association, vol. 110(10), pages 2997-3029, October.
    14. Janet Currie & Matthew Neidell, 2005. "Air Pollution and Infant Health: What Can We Learn from California's Recent Experience?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 1003-1030.
    15. Leonardo Bursztyn & Davide Cantoni & David Y. Yang & Noam Yuchtman & Y. Jane Zhang, 2021. "Persistent Political Engagement: Social Interactions and the Dynamics of Protest Movements," American Economic Review: Insights, American Economic Association, vol. 3(2), pages 233-250, June.
    16. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    17. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
    18. Ro'ee Levy, 2021. "Social Media, News Consumption, and Polarization: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 111(3), pages 831-870, March.
    19. Daisuke Oyama & Satoru Takahashi, 2020. "Generalized Belief Operator and Robustness in Binary‐Action Supermodular Games," Econometrica, Econometric Society, vol. 88(2), pages 693-726, March.
    20. Cevat G. Aksoy & Christopher S. Carpenter & Jeff Frank, 2018. "Sexual Orientation and Earnings: New Evidence from the United Kingdom," ILR Review, Cornell University, ILR School, vol. 71(1), pages 242-272, January.
    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. Alejandra Agustina Martínez, 2023. "Raise your Voice! Activism and Peer Effects in Online Social Networks," Working Papers 277, Red Nacional de Investigadores en Economía (RedNIE).
    2. Magnus Carlsson & Abdulaziz Abrar Reshid, 2022. "Co‐worker peer effects on parental leave take‐up," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 930-957, October.
    3. Bethencourt, Carlos & Santos-Torres, Daniel, 2023. "Gender-role identity in adolescence and women fertility in adulthood," MPRA Paper 116321, University Library of Munich, Germany.
    4. Welteke, Clara & Wrohlich, Katharina, 2019. "Peer effects in parental leave decisions," Labour Economics, Elsevier, vol. 57(C), pages 146-163.
    5. Samuli Knüpfer & Elias Rantapuska & Matti Sarvimäki, 2023. "Social Interaction in the Family: Evidence from Investors’ Security Holdings," Review of Finance, European Finance Association, vol. 27(4), pages 1297-1327.
    6. González, Felipe, 2020. "Collective action in networks: Evidence from the Chilean student movement," Journal of Public Economics, Elsevier, vol. 188(C).
    7. Vincent Boucher & Yann Bramoullé, 2020. "Binary Outcomes and Linear Interactions," AMSE Working Papers 2038, Aix-Marseille School of Economics, France.
    8. Cavapozzi, Danilo & Francesconi, Marco & Nicoletti, Cheti, 2021. "The impact of gender role norms on mothers’ labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 113-134.
    9. Francesconi, Marco & Nicoletti, Cheti & Cavapozzi, Danilo, 2021. "The Impact of Gender Role Norms on Mothers’ Labor Supply," CEPR Discussion Papers 15957, C.E.P.R. Discussion Papers.
    10. Knüpfer, Samuli & Rantapuska, Elias & Sarvimäki, Matti, 2017. "Why does portfolio choice correlate across generations?," Bank of Finland Research Discussion Papers 25/2017, Bank of Finland.
    11. SHIMAMOTO Daichi & Yu Ri KIM & TODO Yasuyuki, 2019. "The Effect of Social Interactions on Exporting Activities: Evidence from Micro, Small, and Medium-Sized Enterprises in rural Vietnam," Discussion papers 19020, Research Institute of Economy, Trade and Industry (RIETI).
    12. Magnus A. H. Gulbrandsen, 2021. "Peer effects and debt accumulation: Evidence from lottery winnings," Working Paper 2021/10, Norges Bank.
    13. Marco Tonello, 2011. "Mechanisms of peer interactions between native and non-native students: rejection or integration?," Working Papers 2011/21, Institut d'Economia de Barcelona (IEB).
    14. 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.
    15. Aksoy, Billur & Chadd, Ian & Koh, Boon Han, 2023. "Sexual identity, gender, and anticipated discrimination in prosocial behavior," European Economic Review, Elsevier, vol. 154(C).
    16. Nicolás Ajzenman & Bruno Ferman & Pedro C. Sant’Anna, 2023. "Rooting for the Same Team: On the Interplay between Political and Social Identities in the Formation of Social Ties," Working Papers 231, Red Nacional de Investigadores en Economía (RedNIE).
    17. Glitz, Albrecht, 2017. "Coworker networks in the labour market," Labour Economics, Elsevier, vol. 44(C), pages 218-230.
    18. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2022. "Consumption peer effects and utility needs in India," Quantitative Economics, Econometric Society, vol. 13(3), pages 1257-1295, July.
    19. Daichi Shimamoto & Yasuyuki Todo & Yu Ri Kim & Petr Matous, 2022. "Identifying and decomposing peer effects on decision-making using a randomized controlled trial," Empirical Economics, Springer, vol. 63(2), pages 1029-1058, August.
    20. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," NBER Working Papers 28849, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    LGBTQ; social networks; peer effects; social media; cultural change;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    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:ibt:wpaper:wp062022. 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: IBS (email available below). General contact details of provider: https://edirc.repec.org/data/ibswapl.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.