Table 3 Results of the baseline regression.

From: Social status, hukou conversion and upwards class mobility: evidence from Chinese rural‒urban migrants

 

(1)

(2)

(3)

(4)

VARIABLES

SSS

SSS

SFES

SFES

migrant

−0.087***

−0.038

−0.174***

−0.100***

 

(0.033)

(0.033)

(0.037)

(0.038)

age

−0.033***

0.000

−0.059***

−0.019***

 

(0.006)

(0.006)

(0.006)

(0.007)

agesq

0.000***

0.000***

0.001***

0.000***

 

(0.000)

(0.000)

(0.000)

(0.000)

gender

−0.116***

−0.191***

0.063**

−0.034

 

(0.028)

(0.028)

(0.031)

(0.032)

house

0.312***

0.152***

0.517***

0.251***

 

(0.025)

(0.021)

(0.030)

(0.027)

cpc

0.268***

0.106***

0.337***

0.140***

 

(0.036)

(0.036)

(0.040)

(0.042)

minzu

−0.016

−0.004

−0.195**

−0.217***

 

(0.071)

(0.070)

(0.082)

(0.082)

marriage (ref.=unmarried)

    

cohabitation

0.392***

0.186

0.395***

0.015

 

(0.117)

(0.121)

(0.147)

(0.150)

married

0.395***

0.148***

0.455***

0.023

 

(0.039)

(0.040)

(0.043)

(0.045)

social (ref.= never)

    

seldom

0.272***

0.205***

0.288***

0.191***

 

(0.052)

(0.053)

(0.054)

(0.056)

sometimes

0.409***

0.310***

0.439***

0.312***

 

(0.052)

(0.053)

(0.054)

(0.058)

often

0.402***

0.261***

0.492***

0.322***

 

(0.056)

(0.057)

(0.060)

(0.063)

always

0.497***

0.395***

0.403***

0.278**

 

(0.102)

(0.104)

(0.108)

(0.111)

fairness (ref.= totally unfair)

    

relative unfair

0.750***

0.638***

0.531***

0.387***

 

(0.072)

(0.073)

(0.075)

(0.078)

neither unfair nor fair

1.026***

0.909***

0.749***

0.608***

 

(0.072)

(0.074)

(0.076)

(0.079)

relative fair

1.467***

1.281***

1.201***

0.988***

 

(0.070)

(0.071)

(0.073)

(0.077)

totally fair

1.739***

1.608***

1.206***

1.062***

 

(0.120)

(0.122)

(0.124)

(0.133)

medu (ref.= under primary school)

    

primary school

0.139***

0.068

0.141***

0.061

 

(0.043)

(0.044)

(0.048)

(0.049)

 

SSS

SSS

SFES

SFES

middle school

0.117**

−0.015

0.140**

−0.020

 

(0.055)

(0.055)

(0.061)

(0.062)

high school

0.294***

0.085

0.223***

−0.027

 

(0.064)

(0.064)

(0.072)

(0.074)

bachelor and above

0.769***

0.371***

0.837***

0.290*

 

(0.121)

(0.120)

(0.146)

(0.148)

fedu (ref.= under primary school)

    

primary school

0.134***

0.023

0.130***

−0.012

 

(0.043)

(0.044)

(0.048)

(0.050)

middle school

0.310***

0.132**

0.310***

0.076

 

(0.052)

(0.053)

(0.058)

(0.061)

high school

0.339***

0.089

0.432***

0.118*

 

(0.057)

(0.058)

(0.065)

(0.067)

bachelor and above

0.293***

−0.000

0.606***

0.238**

 

(0.092)

(0.092)

(0.107)

(0.108)

income

 

0.598***

 

1.197***

  

(0.027)

 

(0.035)

ca

 

0.081***

 

0.062***

  

(0.007)

 

(0.008)

education (ref.= under primary school)

    

primary school

 

0.047

 

0.175**

  

(0.076)

 

(0.089)

middle school

 

0.083

 

0.246***

  

(0.070)

 

(0.083)

high school

 

0.120*

 

0.344***

  

(0.072)

 

(0.086)

bachelor and above

 

0.313***

 

0.442***

  

(0.078)

 

(0.093)

health (ref.= very bad health)

    

relatively bad health

 

0.269**

 

0.346**

  

(0.123)

 

(0.145)

neither good nor bad

 

0.435***

 

0.553***

  

(0.120)

 

(0.142)

relatively good health

 

0.699***

 

0.804***

  

(0.120)

 

(0.143)

very good health

 

0.753***

 

0.987***

  

(0.124)

 

(0.146)

mentalhealth (ref.= always)

    

often

 

−0.059

 

0.336

  

(0.175)

 

(0.205)

sometimes

 

0.350**

 

0.668***

  

(0.166)

 

(0.195)

 

SSS

SSS

SFES

SFES

seldom

 

0.526***

 

0.861***

  

(0.166)

 

(0.195)

never

 

0.589***

 

0.861***

  

(0.167)

 

(0.195)

Observations

16,880

16,880

16,880

16,880

Province FE

YES

YES

YES

YES

Year FE

YES

YES

YES

YES

Pseudo R-squared

0.0352

0.0608

0.0608

0.137

  1. ***p < 0.01, **p < 0.05, *p < 0.1. Robust standard errors are in parentheses. We further use the odds ratio and marginal effect to better interpret the practical significance of the coefficients. For example, the −0.1744 coefficient for migrant in Column (3) of Table 3 suggests that the odds of reporting a higher SFES for migrants (migrant = 1) are 84.00% (\({e}^{-0.1744}\)) of the odds for urban natives (migrant = 0). In other words, compared with urban natives, rural‒urban migrants are approximately 16.00% less likely to report higher SFES. In addition, we perform a marginal effect analysis for SFES in the specific category of SFES = 4. Specifically, the results reveal that when the migrant variable transitions from 0 to 1, the probability of reporting SFES = 4 decreases by 1.5%. The results for all marginal effects are available upon request.