Skip to main content

Table 3 Regression analysis of housing wealth (2017, urban areas, N = 5165)

From: Housing wealth inequality in urban China: the transition from welfare allocation to market differentiation

  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
  1. p < 0.05
  2. **p < 0.01
  3. ***p < 0.001