From: Real wage growth in the U.S. health workforce and the narrowing of the gender pay gap
Healthcare support occupations | Nurses | Direct patient care occupations | Healthcare practitioner and technical occupations | Physicians and surgeons (35 and older) | |
---|---|---|---|---|---|
Intercept | 2.9095 (0.0330)*** | 3.5219 (0.0153)*** | 3.6710 (0.0201)*** | 3.5866 (0.0192)*** | 4.3472 (0.0287)*** |
Sex | |||||
Female | −0.1452 (.0278)*** | −0.0436 (0.0118)*** | −0.1369 (0.0111)*** | −0.1664 (0.0141)*** | −0.2555 (0.0318)*** |
Age | |||||
18 to 34 | −0.1708 (0.0064)*** | −0.2602 (0.0043)*** | −0.2644 (0.0064)*** | −0.2465 (0.0063)*** | N/A |
35 to 40 | −0.0282 (0.0071)*** | −0.1027 (0.0048)*** | −0.0467 (0.0070)*** | −0.0429 (0.0069)*** | −0.0087 (0.0111) |
41 to 49 | 0.0014 (0.0068) | −0.0517 (0.0043)*** | 0.0081 (0.0067) | −0.0094 (0.0064) | 0.0460 (0.0085)*** |
50 to 59 | 0.0127 (0.0066) | −0.0226 (0.0041) *** | 0.0308 (0.0066)*** | −0.0012 (0.0064) | 0.0423 (0.0089)*** |
Race/ethnicity | |||||
Black or African-American | −0.0014 (0.0046) | −0.0223 (0.0053)*** | −0.0900 (0.0049)*** | −0.0855 (0.0058)*** | −0.1189 (0.0159)*** |
Hispanic or Latino | −0.0691 (0.0057)*** | −0.0437 (0.0064)*** | −0.0634 (0.0059)*** | −0.0872 (0.0074)*** | −0.0826 (0.0156)*** |
Asians/other | −0.0213 (.0080)** | 0.0154 (0.0054)** | −0.0640 (0.0078)*** | −0.0066 (0.0081) | 0.0079 (0.0082) |
Education | |||||
High school or less | −0.01835 (0.0069)*** | −0.1507 (0.0112)*** | −0.05844 (0.0050)*** | −0.6384 (0.0052)*** | −0.2004 (0.0142)*** |
Some college | −0.1105 (0.0067)*** | −0.01163 (0.0026)*** | −0.3444 (0.0043)*** | −0.4382 (0.0038)*** | −0.7837 (0.0333)*** |
Industry | |||||
Ambulatory | 0.0287 (0.0042)*** | −0.1221 (0.0043)*** | −0.02414 (0.0067)*** | −0.0775 (0.0042)*** | −0.0466 (0.0061)*** |
Long-term care | −0.2056 (0.0043)*** | −0.1881 (0.0038)*** | −0.4708 (0.0067)*** | −0.0723 (0.0053)*** | −0.1419 (0.0496)** |
Other/Govt., Educ., Community Org. | −0.1648 (0.0069)*** | −0.1795 (0.0052)*** | −0.3485 (0.0049)*** | −0.1209 (0.0046)*** | −0.1499 (0.0115)*** |
Nativity | |||||
Naturalized citizen | 0.0322 (0.0064)*** | 0.0426 (0.0055)*** | −0.0445 (0.0078)*** | 0.0226 (0.0077)** | −0.0021 (0.0080) |
Non-citizen | −0.0482 (0.0078)*** | −0.0154 (0.0075)* | −0.2094 (0.0101) *** | −0.0870 (0.0115)*** | −0.1277 (0.0134)*** |
Hours worked | |||||
30 to 34 | −0.0646 (0.0053)*** | 0.0093 (0.0046)* | −0.2802 (0.0093)*** | 0.0317 (0.0065)*** | 0.0022 (0.0135) |
41 to 50 | −0.00569 (0.0056)*** | −0.0515 (0.0033)*** | 0.0096 (0.0040)* | −0.0244 (0.0046)*** | −0.0037 (0.0050) |
51 or more | −0.3525 (0.0106)*** | −0.2615 (0.0073)*** | −0.2525 (0.0074)*** | −0.03243 (0.0086)*** | −0.0871 (0.0098)*** |
Year | |||||
2004 | −0.0500 (0.0316) | 0.0965 (0.0190)*** | 0.0073 (0.0137) | 0.0849 (0.0170)*** | 0.0101 (0.0188) |
2008 | −0.0584 (0.0293)* | 0.1153 (0.0137)*** | −0.0469 (0.0117)*** | 0.0590 (0.0146)*** | 0.1582 (0.0221)*** |
2013 | −0.0735 (0.0285)* | 0.0923 (0.0136)*** | −0.0708 (0.0121)*** | 0.0470 (0.0146)** | 0.2287 (0.0187)*** |
2017 | −0.0754 (0.0285)** | 0.1109 (0.0132)*** | −0.0633 (0.0117)*** | 0.0287 (0.0145)* | 0.2660 (0.0181)*** |
Full interaction (gender by year) | |||||
2004 | 0.0657 (0.0327)* | −0.0189 (0.0198) | 0.0113 (0.0158) | −0.0415 (0.0190)* | 0.1901 (0.0428)*** |
2008 | 0.0488 (0.0300) | −0.0255 (0.0145) | 0.0169 (0.0133) | −0.0094 (0.0162) | −0.0111 (0.0361) |
2013 | 0.0466 (0.0293) | −0.0095 (0.0144) | 0.0125 (0.0137) | 0.0003 (0.0162) | 0.0524 (0.0368) |
2017 | 0.0762 (0.0292)** | −0.0135 (0.0139) | 0.0240 (0.0133) | 0.0139 (0.0161) | 0.0937 (0.0348)** |
State fixed effects | ✓ | ✓ | ✓ | ✓ | ✓ |
Sample size | 78,893 | 87,835 | 1,12,080 | 1,19,223 | 22,836 |