Table 3 Regression analysis of housing wealth (2017, urban areas, N = 5165)
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 | Model 8 | |
|---|---|---|---|---|---|---|---|---|
Constant | 75.303*** | 16.370* | − 67.148*** | − 48.054*** | − 27.617* | − 21.972 | − 24.901* | − 26.165* |
Male | 1.232 | -2.226 | − 6.222* | − 2.278 | − .990 | − .331 | .312 | .667 |
Age | − .219 | .461*** | 1.209*** | .891*** | .595** | .461* | .505* | .521** |
Family size | − .275 | − 2.716** | − .602 | − .621 | .166 | .761 | .631 | .694 |
Married with spouse | − 1.666 | − 4.424 | − 5.351 | − 7.720 | − 7.867 | − 7.989 | − 7.416 | -8.053 |
Annual household income | – | .528*** | .476*** | .485*** | .450*** | .448*** | .447*** | .446*** |
Years of schooling | – | – | 4.979*** | 3.662*** | 2.292*** | 1.530* | 1.749** | 1.725** |
Managerial personnel | – | – | – | 36.289*** | 35.347*** | 33.423*** | 37.374*** | 57.778*** |
Professionals and technicians | – | – | – | − 1.844 | 3.137 | .064 | 7.011 | .908 |
Clerks | – | – | – | 23.335*** | 24.020*** | 20.463*** | 26.403*** | 34.969*** |
Self-employed | – | – | – | 1.425 | 5.767 | 5.162 | 3.015 | 4.023 |
Centrally administered municipalities | – | – | – | – | 143.905*** | 139.596*** | 140.180*** | 140.106*** |
Provincial capitals | – | – | – | – | 37.287*** | 35.089*** | 36.040*** | 36.088*** |
Urban hukou | – | – | – | – | – | 15.273*** | 18.228*** | 17.957*** |
State sector | – | – | – | – | – | – | − 16.555*** | − 9.025 |
Administrative elites in the state sector | – | – | – | – | – | – | – | − 45.182** |
Professionals and technicians in the state sector | – | – | – | – | – | – | – | 3.366 |
Clerks in the state sector | – | – | – | – | – | – | – | − 18.942 |
R2 | .000 | .190 | .211 | .293 | .353 | .356 | .359 | .360 |
N | 5165 | 5165 | 5165 | 5165 | 5165 | 5165 | 5165 | 5165 |