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Gender Homophily in Referral Networks: Consequences for the Medicare Physician Earnings Gap

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  • Zeltzer, Dan

    (Tel Aviv University)

Abstract

In this paper, I assess the extent to which the gender gap in physician earnings may be driven by physicians' preference for working with specialists of the same gender. By analyzing administrative data on 100 million Medicare patient referrals, I provide robust evidence that doctors refer more to specialists of their same gender, a tendency known as homophily. I propose a new measure of homophily that is invariant to differences between the genders in the propensity to refer or receive referrals. I show that biased referrals are predominantly driven by physicians' decisions rather than by endogenous sorting of physicians or patients or by gender differences in the labor supply. As 75% of doctors are men, estimates suggest biased referrals generate a 5% lower demand for female relative to male specialists, pointing to a positive externality for increased female participation in medicine.

Suggested Citation

  • Zeltzer, Dan, 2017. "Gender Homophily in Referral Networks: Consequences for the Medicare Physician Earnings Gap," IZA Discussion Papers 11230, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp11230
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    Cited by:

    1. Bhargava, Palaash & Chen, Daniel L. & Sutter, Matthias & Terrier, Camille, 2022. "Homophily and Transmission of Behavioral Traits in Social Networks," IZA Discussion Papers 15840, Institute of Labor Economics (IZA).
    2. Lorenzo Ductor & Anja Prummer, 2022. "Gender Homophily, Collaboration, and Output," ThE Papers 22/18, Department of Economic Theory and Economic History of the University of Granada..
    3. Itzik Fadlon & Frederik Plesner Lyngse & Torben Heien Nielsen, 2022. "Early Career Setbacks and Women’s Career-Family Trade-Off," CEBI working paper series 22-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    4. Sule Alan & Corekcioglu & Mustafa Kaba & Matthias Sutter, 2023. "Female Leadership and Workplace Climate," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2023_09, Max Planck Institute for Research on Collective Goods.
    5. Pierre Deschamps, 2018. "Gender Quotas in Hiring Committees: a Boon or a Bane for Women?," SciencePo Working papers Main hal-03393117, HAL.
    6. Nayoung Rim & Roman Rivera & Andrea Kiss & Bocar Ba, 2020. "The Black-White Recognition Gap in Award Nominations," Working Papers 2020-065, Human Capital and Economic Opportunity Working Group.
    7. Hanming Fang & Qing Gong, 2017. "Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked," American Economic Review, American Economic Association, vol. 107(2), pages 562-591, February.
    8. Buhai, I. Sebastian & van der Leij, Marco J., 2023. "A Social Network Analysis of Occupational Segregation," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    9. Pablo Brañas-Garza & Lorenzo Ductor & Jaromir Kovarik, 2022. "The role of unobservable characteristics in friendship network formation," ThE Papers 22/08, Department of Economic Theory and Economic History of the University of Granada..
    10. Lecoutere, Els & Spielman, David J. & Van Campenhout, Bjorn, 2023. "Empowering women through targeting information or role models: Evidence from an experiment in agricultural extension in Uganda," World Development, Elsevier, vol. 167(C).
    11. Leila Agha & Dan Zeltzer, 2022. "Drug Diffusion through Peer Networks: The Influence of Industry Payments," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 1-33, May.
    12. Méndez, Susan J. & Scott, Anthony & Zhang, Yuting, 2021. "Gender differences in physician decisions to adopt new prescription drugs," Social Science & Medicine, Elsevier, vol. 277(C).
    13. Chika O. Okafor, 2020. "Social Networks as a Mechanism for Discrimination," Papers 2006.15988, arXiv.org, revised Feb 2022.
    14. Pierre Deschamps, 2018. "Gender Quotas in Hiring Committees: a Boon or a Bane for Women?," SciencePo Working papers hal-03393117, HAL.
    15. Gallen, Yana & Wasserman, Melanie, 2023. "Does information affect homophily?," Journal of Public Economics, Elsevier, vol. 222(C).
    16. Rediet Abebe & Nicole Immorlica & Jon Kleinberg & Brendan Lucier & Ali Shirali, 2022. "On the Effect of Triadic Closure on Network Segregation," Papers 2205.13658, arXiv.org.
    17. 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.
    18. Pierre Deschamps, 2018. "Gender Quotas in Hiring Committees: a Boon or a Bane for Women?," Post-Print hal-03393117, HAL.
    19. Barbara Biasi & Heather Sarsons, 2020. "Flexible Wages, Bargaining, and the Gender Gap," NBER Working Papers 27894, National Bureau of Economic Research, Inc.
    20. Benjamin Hansen & Drew McNichols, 2020. "Information and the Persistence of the Gender Wage Gap: Early Evidence from California's Salary History Ban," NBER Working Papers 27054, National Bureau of Economic Research, Inc.
    21. Marika Cabral & Marcus Dillender, 2021. "Gender Differences in Medical Evaluations: Evidence from Randomly Assigned Doctors," NBER Working Papers 29541, National Bureau of Economic Research, Inc.
    22. repec:hal:spmain:info:hdl:2441/7bucmgmilh9ul9ogmiku5legh5 is not listed on IDEAS

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    More about this item

    Keywords

    networks; referrals; gender; physician markets;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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