Gender Gap in Commute and Earning
| ln Commute Distance from | |||||||
|---|---|---|---|---|---|---|---|
| New Home | Current Home | ln Salary | |||||
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | |
| = 1 if male | 0.098 | 0.121 | 0.114 | 0.103 | 0.102 | 0.294 | 0.274 |
| (0.004) | (0.004) | (0.004) | (0.004) | (0.004) | (0.012) | (0.012) | |
| ln distance between work and new home | 0.096 | ||||||
| (0.005) | |||||||
| Fixed effects | |||||||
| Age bin | X | X | X | X | X | X | |
| Detailed edu. attainment | X | X | X | X | X | X | |
| Current home district | X | X | X | ||||
| Household | X | X | |||||
Notes: The sample is from the mortgage data and includes households in which both spouses report a workplace and have a positive salary. All models are estimated using OLS. The dependent variable is log commute distance from the new home in Columns 1–4, log commute distance from the current home in Column 5, and log salary in Columns 6 and 7. The commute distance is the linear distance between the current home address and the work address. Standard errors are clustered at the community levels.