Skip to main content

Table 5 Logistic regression for different types of housing

From: Housing inequality in urban China: the heritage of socialist institutional arrangements

  Model 1 Model 2 Model 3 Model 4 Model 5
Commercial apartment Middle/low price commercial apartments Housing obtained during housing reform Public housing rentals Other types of rentals
Intercept − 0.04
(0.16)
2.01***
(0.25)
− 4.48***
(0.16)
− 1.06***
(0.23)
0.14
(0.21)
Householder’s age − 0.06***
(0.00)
− 0.03***
(0.00)
0.07***
(0.00)
0.01**
(0.00)
− 0.03***
(0.00)
Householder’s education 0.12**
*(0.01)
− 0.16***
(0.01)
0.04***
(0.01)
− 0.07***
(0.01)
− 0.05***
(0.01)
Family income per capita (10 thousand) 0.24***
(0.02)
− 0.56***
(0.05)
− 0.07***
(0.01)
− 0.49***
(0.04)
− 0.04*
(0.02)
Housing subsidies
 One-time subsidy 0.32***
(0.06)
− 0.36**
(0.13)
0.24***
(0.05)
− 0.81***
(0.11)
− 0.71***
(0.11)
 Monthly subsidies 0.35***
(0.07)
− 0.15
(0.14)
− 0.17*
(0.07)
0.04
(0.11)
− 0.3**
(0.11)
 None (ref.)      
Family structure
 3 generations in hh 0.22**
(0.08)
− 0.28*
(0.12)
0.31***
(0.07)
− 0.40***
(0.12)
− 0.47***
(0.11)
 2 generations in hh − 0.02
(0.05)
− 0.23**
(0.09)
0.38***
(0.05)
− 0.07
(0.08)
− 0.35***
(0.07)
 1 person hh − 0.87***
(0.08)
− 0.16
(0.14)
0.14+
(0.08)
0.61***
(0.11)
0.59***
(0.09)
 Other type − 1.71***
(0.24)
− 0.73*
(0.10)
0.13
(0.22)
0.07
(0.29)
1.35***
(0.18)
1 generation (couple) in hh (ref.)      
Householder’s work unit
 Government/party organization − 0.31***
(0.08)
− 0.37*
(0.18)
0.51***
(0.07)
− 0.25
(0.17)
− 0.05
(0.12)
 Public institution − 0.52***
(0.06)
− 0.44***
(0.12)
0.72***
(0.06)
0.09
(0.11)
− 0.25**
(0.09)
 State-owned enterprise − 0.42***
(0.05)
− 0.88***
(0.08)
0.82***
(0.05)
0.15*
(0.07)
− 0.47***
(0.07)
 Collectively owned enterprise − 0.33***
(0.09)
− 0.38***
(0.12)
0.31***
(0.07)
0.36***
(0.10)
− 0.08
(0.11)
 Self-employed laborer 0.67***
(0.07)
− 0.07
(0.10)
− 0.72***
(0.09)
− 0.22+
(0.12)
0.15+
(0.09)
 Unemployed − 0.3***
(0.08)
− 0.22**
(0.09)
− 0.23***
(0.07)
0.45***
(0.08)
0.13
(0.09)
Private/other enterprise (ref.)      
N 18,150 18,150 18,150 18,150 18,150
− 2 Log likelihood 17,920.54 8390.31 19,696.31 10,210.24 10,827.31
Nagelkerke R square 0.219 0.139 0.199 0.099 0.052
  1. Note: + p < .10,*p < .05, **p < .01, ***p < .001