Table 4.
Salary regression results.
| Variables | Men |
Women |
|
|---|---|---|---|
| Pooled OLS | Pooled OLS | Heckman | |
| Friends | 0.0176∗ | 0.0180∗ | 0.0179∗ |
| Age | 0.0332∗ | 0.0296∗ | 0.0284∗ |
| Age Squared | -0.0004∗ | -0.0003∗ | -0.0003∗ |
| Years in Education | 0.0424∗ | 0.0391∗ | 0.0388∗ |
| Married | 0.0991∗ | 0.0460∗ | 0.0494∗ |
| Tenure | 0.0089∗ | 0.0137∗ | 0.0138∗ |
| Type of work | |||
| Part-time | 0.4271∗ | 0.3788∗ | 0.3789∗ |
| Size of Company | |||
| Medium | 0.1176∗ | 0.1047∗ | 0.1048∗ |
| Large | 0.1731∗ | 0.1660∗ | 0.1661∗ |
| Constant | 3.4797∗ | 3.3875∗ | 3.4178∗ |
| Mills inverse ratio | -0.0111∗ | ||
| R2 | 44.32% | 52.12% | |
| Number of Observations | 985,470 | 623,494 | 623,494 |
| Instrumental Variable: | |||
| Number of people that work in a particular household | 4.3394∗ | ||
| Number of Observations | 2,075,104 | ||
∗p < 0.05.
Note: All regressions were controlled by occupation, industry, city, and year.