Table 4.
Ages ≤ 50 | Ages ≤ 40 | |||
---|---|---|---|---|
(1) Male |
(2) Female |
(3) Male |
(4) Female |
|
Primary school | −0.33*** (0.07) | 0.51*** (0.13) | −0.46*** (0.14) | 0.68*** (0.15) |
Junior high school | −0.14 (0.09) | −0.12 (0.13) | −0.07 (0.29) | −0.17 (0.31) |
Schooling years | −0.02 (0.02) | −0.001 (0.02) | −0.02 (0.02) | 0.02 (0.02) |
Income | −0.10 (0.15) | 0.25*** (0.09) | −0.03 (0.16) | 0.46*** (0.13) |
Ages | −0.19*** (0.02) | −0.15*** (0.02) | −0.41*** (0.09) | −0.27*** (0.09) |
Ages square | 0.002*** (0.0003) | 0.002*** (0.0007) | 0.006*** (0.001) | 0.004** (0.002) |
Wave 1 | Reference | Reference | ||
Wave 2 | 0.04 (0.05) | 0.04 (0.06) | 0.05 (0.05) | 0.16** (0.08) |
Wave 3 | 0.52*** (0.09) | 0.98*** (0.09) | 0.55*** (0.11) | 0.98*** (0.11) |
R-squared | 0.15 | 0.19 | 0.20 | 0.25 |
Observations | 2436 | 2009 | 1391 | 1205 |
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 5%, and 1% levels, respectively