TABLE 8.
Marginal effects of job satisfaction from the logit regression (White Male, White Female)
| White Male |
White Female |
||||||||
|---|---|---|---|---|---|---|---|---|---|
| Rank order (Likert scale) |
(1) | (2) | (3) | (4) | (1) | (2) | (3) | (4) | |
| White Male | Very dissatisfied | Somewhat dissatisfied | Somewhat satisfied | Very satisfied | Very dissatisfied | Somewhat dissatisfied | Somewhat satisfied | Very satisfied | |
| Mismatch | |||||||||
| Somewhat related (Ref: Closely related) | 0.018 | 0.021 | 0.059** | −0.083*** | 0.030** | 0.044*** | 0.048* | −0.101*** | |
| (0.011) | (0.015) | (0.023) | (0.022) | (0.010) | (0.013) | (0.021) | (0.020) | ||
| Not related | 0.047*** | 0.065*** | 0.052* | −0.169*** | 0.056*** | 0.079*** | 0.026 | −0.164*** | |
| (0.011) | (0.015) | (0.025) | (0.024) | (0.010) | (0.014) | (0.023) | (0.022) | ||
| Log annual wage | −0.013*** | −0.029*** | −0.028* | 0.087*** | −0.011*** | −0.013* | −0.051*** | 0.083*** | |
| (0.004) | (0.008) | (0.014) | (0.014) | (0.004) | (0.006) | (0.011) | (0.011) | ||
| Degree field | |||||||||
| Political and related sciences | 0.003 | −0.006 | 0.023 | −0.025 | −0.010 | 0.019 | −0.039 | 0.031 | |
| (Ref: Economics) | (0.009) | (0.016) | (0.026) | (0.025) | (0.013) | (0.022) | (0.035) | (0.000) | |
| Psychology | −0.006 | −0.009 | 0.062* | −0.047 | −0.011 | 0.029 | −0.050 | 0.034 | |
| (0.010) | (0.016) | (0.026) | (0.025) | (0.011) | (0.020) | (0.030) | (0.030) | ||
| Sociology and anthropology | −0.006 | 0.001 | 0.077* | −0.073* | −0.018 | 0.019 | −0.050 | 0.053 | |
| (0.011) | (0.018) | (0.031) | (0.030) | (0.012) | (0.022) | (0.034) | (0.033) | ||
| Other social sciences | 0.002 | 0.003 | 0.049 | −0.049 | 0.008 | 0.002 | −0.082* | 0.068 | |
| (0.011) | (0.019) | (0.031) | (0.030) | (0.012) | (0.023) | (0.036) | (0.035) | ||
| Degree: Master | 0.003 | 0.021 | −0.008 | −0.017 | 0.004 | 0.025* | −0.021 | −0.012 | |
| (Ref: Bachelor) | (0.009) | (0.013) | (0.022) | (0.021) | (0.007) | (0.012) | (0.019) | (0.018) | |
| Doctorate | 0.009 | −0.033 | −0.034 | 0.025 | 0.006 | 0.056 | −0.032 | −0.031 | |
| (0.031) | (0.052) | (0.065) | (0.061) | (0.025) | (0.034) | (0.061) | (0.057) | ||
| Professional | 0.045 | 0.029 | −0.158 | 0.072 | 0.046 | 0.035 | −0.057 | −0.027 | |
| (0.032) | (0.065) | (0.099) | (0.088) | (0.025) | (0.047) | (0.069) | (0.064) | ||
| Supervisor | −0.020** | −0.007 | −0.050** | 0.064*** | −0.014 | −0.030* | 0.031 | 0.005 | |
| (0.008) | (0.012) | (0.019) | (0.018) | (0.008) | (0.012) | (0.018) | (0.018) | ||
| Training | −0.016* | −0.022 | 0.004 | 0.037* | −0.015* | −0.023* | −0.002 | 0.043* | |
| (0.007) | (0.011) | (0.019) | (0.018) | (0.007) | (0.011) | (0.018) | (0.017) | ||
Note. Data 2013 National Survey of College Graduates. SEs in parentheses:
***
p < 0.001
**
p < 0.01, and
*
p < 0.05.
N = 3,191 (White Male), N = 3,946 (White Female); Prob > chi2 = 0.0000.
All analyses include controls for age, marriage, children, full time status, work duration, employer size, employer type, and employer location.