Table 5.
Estimation results (dependent variable is “Work from home”): full-time employed workers
| Ages ≤ 50 | Ages ≤ 40 | |||
|---|---|---|---|---|
| (1) Male |
(2) Female |
(3) Male |
(4) Female |
|
| Primary school | −0.41** (0.15) | 0.85*** (0.20) | −0.50** (0.20) | 1.32*** (0.25) |
| Junior high school | −0.62*** (0.21) | −0.63* (0.37) | 0.43 (0.47) | −0.49 (0.58) |
| Schooling years | −0.04 (0.04) | 0.05 (0.05) | −0.11** (0.05) | −0.01 (0.07) |
| Income | −0.18 (0.24) | −0.28 (0.29) | 0.07 (0.27) | 0.04 (0.32) |
| Ages | −0.17** (0.07) | −0.35*** (0.10) | −0.15 (0.17) | 0.01 (024) |
| Ages square | 0.002** (0.001) | 0.005*** (0.001) | 0.002 (0.003) | −0.001 (0.004) |
| Wave 1 | Reference | Reference | ||
| Wave 2 | 0.01 (0.08) | −0.03 (0.08) | −0.06 (0.11) | 0.04 (0.11) |
| Wave 3 | 0.23* (0.12) | 0.28** (0.13) | 0.19 (0.12) | 0.33** (0.14) |
| R-squared | 0.18 | 0.18 | 0.14 | 0.28 |
| Observations | 794 | 783 | 465 | 471 |
Numbers within parentheses are robust standard errors clustered by prefectures. In all columns, various control variables such as job dummies, current residential prefecture dummies, and a constant are included. However, these estimates are not reported
*, **, and *** denote statistical significance at the 10%, 5%, and 1% levels, respectively