Replication data for: Gender Homophily in Referral Networks: Consequences for the Medicare Physician Earnings Gap
Principal Investigator(s): View help for Principal Investigator(s) Dan Zeltzer
Version: View help for Version V1
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| 20180201_data | 05/09/2025 12:22:AM | ||
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text/plain | 14.6 KB | 05/08/2025 08:22:PM |
Project Citation:
Zeltzer, Dan. Replication data for: Gender Homophily in Referral Networks: Consequences for the Medicare Physician Earnings Gap. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-05-09. https://doi.org/10.81037/E129019V1
Project Description
Summary:
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I assess the extent to which the gender gap in physician earnings may be driven by physicians' preference for referring to specialists of the same gender. Analyzing administrative data on 100 million Medicare patient referrals, I provide robust evidence that doctors refer more to specialists of their own gender. I show that biased referrals are predominantly driven by physicians' decisions rather than by endogenous sorting of physicians or patients. Because most referring doctors are male, the net impact of same-gender bias by both male and female doctors generates lower demand for female relative to male specialists, pointing to a positive externality for increased female participation in medicine.
Scope of Project
JEL Classification:
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H51 National Government Expenditures and Health
I11 Analysis of Health Care Markets
J16 Economics of Gender; Non-labor Discrimination
J31 Wage Level and Structure; Wage Differentials
J44 Professional Labor Markets; Occupational Licensing
H51 National Government Expenditures and Health
I11 Analysis of Health Care Markets
J16 Economics of Gender; Non-labor Discrimination
J31 Wage Level and Structure; Wage Differentials
J44 Professional Labor Markets; Occupational Licensing
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