TABLE 3.
Sex differences in salary by specialty
Unadjusted Salary ($) | Adjusted Salary ($) | |||||
---|---|---|---|---|---|---|
Specialty | Males | Females | Difference | Males | Females | Difference (95% CI) |
Anesthesiology (N=654) | 278,931 | 256,981 | 21,950 | 291,617 | 276,684 | 14,933 (−2,822, 32,688) |
Cardiology (N=369) | 284,378 | 243,904 | 40,474 | 263,690 | 229,940 | 33,749 (6,479, 61,020) |
Emergency Medicine (N=361) | 234,997 | 214,007 | 20,990 | 239,257 | 232,534 | 6,723 (−17,907, 31,353) |
Family Medicine (N=519) | 179,080 | 162,330 | 16,750 | 191,879 | 185,635 | 6,244 (−12,529, 25,017) |
Gastroenterology (N=228) | 273,915 | 235,666 | 38,249 | 263,838 | 251,130 | 12,709 (−20,499, 45,916) |
Hematology/Oncology (N=419) | 282,705 | 229,021 | 53,684 | 256,959 | 219,166 | 37,793 (16,030, 59,556) |
Infectious Disease (N=237) | 192,077 | 166,023 | 26,054 | 196,449 | 177,886 | 18,563 (−9,889, 47,016) |
Internal Medicine (N=927) | 210,062 | 183,700 | 26,362 | 207,497 | 191,338 | 16,159 (2,256, 30,061) |
Neurology (N=449) | 210,705 | 170,504 | 40,201 | 202,832 | 172,351 | 30,482 (9,371, 51,592) |
Obstetrics & Gynecology (N=418) | 290,183 | 236,978 | 53,205 | 289,777 | 253,387 | 36,390 (16,375, 56,406) |
Orthopedic Surgery (N=233) | 363,847 | 308,045 | 55,802 | 368,070 | 327,117 | 40,953 (2,277, 79,628) |
Other (N=1331) | 237,452 | 202,230 | 35,222 | 217,786 | 207,800 | 9,985 (−2,262, 22,233) |
Pathology (N=440) | 223,214 | 197,924 | 25,290 | 216,592 | 203,614 | 12,977 (−7,812, 33,767) |
Pediatrics (N=1285) | 210,366 | 171,671 | 38,695 | 220,009 | 195,457 | 24,553 (13,058, 36,047) |
Psychiatry (N=455) | 211,892 | 174,826 | 37,066 | 211,709 | 196,909 | 14,799 (−5,709, 35,308) |
Radiology (N=573) | 290,660 | 289,797 | 863 | 282,749 | 285,127 | −2,378 (−22,631, 17,875) |
Surgery (N=590) | 323,149 | 269,990 | 53,159 | 312,411 | 280,030 | 32,381 (12,253, 52,509) |
Surgery Subspecialty (N=744) | 342,810 | 266,353 | 76,457 | 329,097 | 285,369 | 43,728 (22,272, 65,184) |
Notes: Specialty-specific sex differences in salary were estimated using a multivariable linear regression of salary as a function of age, years of experience, sex (interacted with specialty), NIH funding, publication count (total as well first or last authored publications), clinical trial participation, Medicare payments, and medical school fixed effects.