| Access to employment | Coefficients | Probability | |
| Age | 0.204* | 0.081 | |
| Age squared | −0.300 | 0.230 | |
| Gender |
| ||
| - Male | Ref | ||
| - Female | −0.380*** | 0.000 | |
| Marital status |
|
| |
| - Single | Ref | ||
| - Married | 0.110 | 0.153 | |
| - Divorced/widowed | 0.303 | 0.126 | |
| Level of education |
|
| |
| - Primary | Ref | ||
| - Secondary 1 | 0.0291 | 0.728 | |
| - Secondary 2 | 0.180* | 0.096 | |
| - Higher education | 0.0436 | 0.745 | |
| Departments |
|
| |
| - Others | Ref | ||
| - Brazzaville | −0.759*** | 0.000 | |
| - Pointe-Noire | −0.544*** | 0.000 | |
| Field of study |
|
| |
| - Technical | Ref | ||
| - General | −0.221* | 0.076 | |
| Constant | −2.224* | 0.096 | |
| Lnwage | Coefficients | Probability | |
| Age | 0.195 | 0.295 | |
| Age squared | −0.258 | 0.501 | |
| Gender |
|
| |
| - Male | Ref | ||
| - Female | −0.416*** | 0.000 | |
| Level of education |
|
| |
| - Primary | Ref | ||
| - Secondary 1 | 0.623*** | 0.000 | |
| - Secondary 2 | 0.717*** | 0.000 | |
| - Higher education | 0.902*** | 0.000 | |
| Downgrading |
|
| |
| - Just-educated | Ref | ||
| - Undereducated | 0.224* | 0.052 | |
| - Overeducated | −0.571*** | 0.000 | |
| Firm size |
|
| |
| - Small | Ref | ||
| - Medium | 0.319*** | 0.004 | |
| - Large | 0.750*** | 0.000 | |
| Inverse Mills ratio | 0.671*** | 0.011 | |
| Constance | 7.080*** | 0.002 | |
| Number of observations | 1427 | ||
| Number of censored observations | 1155 | ||
| Number of observations not censored | 272 | ||
| Wald chi2 | 166.13 | ||
| Prob > chi2 | 0.000 | ||