Skip to main content

Table 3 Logistic regression results of home ownership (owned vs. not owned)

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

 

Model 1

Model 2

Model 3

Intercept

− 0.78***

(0.16)

− 0.34+

(0.18)

− 0.67***

(0.17)

Householder’s age

0.01***

(0.00)

− 7.1e−05

(0.003)

0.01***

(0.00)

Householder’s education

0.08***

(0.01)

0.08***

(0.01)

0.08***

(0.01)

Family income per capita (10 thousand)

0.19***

(0.02)

0.19***

(0.02)

0.18***

(0.02)

Housing subsidies

 One-time subsidy

0.84***

(0.08)

0.83***

(0.08)

0.84*

(0.08)

 Monthly subsidies

0.15+

(0.08)

0.22**

(0.08)

0.16***

(0.08)

 None (ref.)

Family structure

 3 generations in hh

0.49***

(0.09)

0.50***

(0.09)

0.49***

(0.09)

 2 generations in hh

0.25***

(0.06)

0.26***

(0.06)

0.25***

(0.06)

 1 person hh

− 0.74***

(0.08)

− 0.74***

(0.08)

− 0.74***

(0.08)

 Other type

− 1.23***

(0.18)

− 1.27***

(0.18)

− 1.26***

(0.18)

1 generation (couple) in hh (ref.)

Householder’s work unit

 Government/party organization

  

0.17+

(0.10)

 Public institution

  

0.15*

(0.07)

 State-owned enterprise

  

0.20***

(0.05)

 Collectively owned enterprise

  

− 0.20*

(0.08)

 Self-employed laborer

  

0.01

(0.08)

 Unemployed

  

− 0.41***

(0.07)

 Private/other enterprise (ref.)

State-owned sector

0.29***

(0.04)

− 0.80***

(0.18)

 

State-owned sector* householder’s age

 

0.03***

(0.004)

 

N

18,150

18,150

18,150

− 2 Log likelihood

15,054.09

15,016.53

16,052.03

Nagelkerke R square

0.090

0.093

0.093

  1. Note: + p < .10,*p < .05, **p < .01, ***p < .001