TABLE 6.
The wage effects of horizontal mismatch by diversity category
| Dependent Variable: Log annual wage | White Male Model 1 | White Female Model 2 | Nonwhite Male Model 3 | Nonwhite Female Model 4 |
|---|---|---|---|---|
| Mismatch | ||||
| Somewhat related (Ref: Closely related) | −0.034 | 0.003 | −0.040 | −0.030 |
| (0.031) | (0.032) | (0.040) | (0.032) | |
| Not related | −0.209*** | −0.173*** | −0.197*** | −0.216*** |
| (0.033) | (0.035) | (0.042) | (0.034) | |
| Degree field | ||||
| Political and related sciences (Ref: Economics) | −0.091** | −0.045 | −0.106* | −0.043 |
| (0.035) | (0.054) | (0.046) | (0.048) | |
| Psychology | −0.274*** | −0.284*** | −0.226*** | −0.177*** |
| (0.035) | (0.046) | (0.045) | (0.043) | |
| Sociology and anthropology | −0.307*** | −0.309*** | −0.212*** | −0.229*** |
| (0.041) | (0.052) | (0.050) | (0.048) | |
| Other social sciences | − 0.244*** | −0.229*** | −0.225*** | −0.237*** |
| (0.042) | (0.056) | (0.058) | (0.053) | |
| Race: Asian (Ref: Black) | 0.149** | 0.187*** | ||
| (0.046) | (0.038) | |||
| Hispanic | 0.130** | 0.050 | ||
| (0.043) | (0.034) | |||
| Other | 0.109 | 0.048 | ||
| (0.056) | (0.045) | |||
| Degree: Master (Ref: Bachelor) | 0.083** | 0.129*** | 0.048 | 0.162*** |
| (0.029) | (0.028) | (0.039) | (0.030) | |
| Doctorate | 0.455*** | 0.413*** | 0.435*** | 0.284* |
| (0.087) | (0.093) | (0.116) | (0.120) | |
| Professional | 0.206 | 0.514*** | 0.239 | 0.502*** |
| (0.124) | (0.100) | (0.203) | (0.125) | |
| Supervisor | 0.245*** | 0.261*** | 0.294*** | 0.210*** |
| (0.025) | (0.027) | (0.033) | (0.028) | |
| Training | 0.063* | 0.145*** | 0.192*** | 0.130*** |
| (0.025) | (0.027) | (0.033) | (0.027) | |
| (0.036) | (0.035) | (0.045) | (0.035) | |
| Constant | 7.871*** | 7.802*** | 7.527*** | 7.990*** |
| (0.168) | (0.177) | (0.224) | (0.187) | |
| Observations | 3,191 | 3,946 | 2,008 | 3,333 |
| AdjR2 | 0.4265 | 0.4089 | 0.4328 | 0.4117 |
Note. Data 2013 National Survey of College Graduates.
SEs in parentheses:
p < 0.001
p < 0.01, and
p < 0.05.
All analyses include controls for age, marriage, children, full time status, work duration, employer size, employer type, and employer location.