Table 4 The impact of homeownership on residing permanently, personal earning and different employment activity.

From: Does homeownership impair employment? Evidence from migrant data in transitional China

 

Intention to

settle down

(biprobit)

(1)

Wage

(2SLS)(2)

Employment activity

Self-employment

jobless

Self-employment

(multi-logit)(3)

(biprobit) (4)

2014

homeownership

0.4137***

(0.0362)

−0.2118***

(0.0589)

−0.0050

(0.0163)

0.4222***

(0.0211)

−0.1570**

(0.0716)

R2

 

0.1521

0.1213

 

Observations

162551

139980

159931

86554

2017

homeownership

0.2131***

(0.0333)

−0.1781**

(0.0685)

−0.1086***

(0.0313)

0.3959***

(0.0347)

−0.2829***

(0.0332)

R2

 

0.2080

0.1634

 

Observations

143,239

114,252

138,633

72,795

  1. Standard errors are reported in parentheses and clustered at city level. ** and *** indicate that the coefficient is significant at the 5 and 1 percent levels, respectively. Other controlling variables in model (1) (3) and (4) are the same as in Table 3 and the whole regression results are not shown in Table 4. Model (2)’s controlling variables also include industries and working unit ownership. IV applied is regional homeownership rate. Coefficient in Biprobit is marginal effect. In model (3), the reference group is wage work, column (1) is for self-employment, and column (2) is for having no job. In model (4), the reference group is having no job.
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