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Journal for Labour Market Research

Table 12 Results of probability function of joining union

From: Union membership and the wage gap between the public and private sectors: evidence from China

 

(1) Nation

(2) Public

(3) Private

 

Coef

z

Coef

z

Coef

z

Employment sector (Ref.: Private)

     

Public

0.647***

18.96

    

Education

0.115***

17.14

0.116***

12.22

0.117***

12.36

Exp

0.047***

7.98

0.047***

6.04

0.054***

5.98

Exp_sq

0.000***

− 3.68

0.000***

− 2.69

− 0.001***

− 3.13

Health

− 0.213***

− 6.63

− 0.221***

− 5.18

− 0.184***

− 3.83

Female

− 0.048

− 1.48

− 0.026

− 0.60

− 0.068

− 1.45

Han majority

0.194**

2.35

0.353***

3.35

− 0.044

− 0.35

Married

0.028

0.60

0.029

0.45

0.026

0.38

CPC membership

0.084**

2.11

0.138***

2.92

0.119*

1.68

Occupation (Ref.: Operator)

      

Official and manager

− 0.169***

− 2.74

− 0.457***

− 5.37

0.105

1.23

Technician

− 0.141**

− 2.53

− 0.330***

− 4.49

0.090

1.04

Clerk

− 0.039

− 0.78

− 0.276***

− 4.21

0.298***

3.88

Other

− 0.162***

− 3.35

− 0.342***

− 4.93

0.004

0.06

Industry (Ref. Manu. and Cons.)

      

Traffic and communication

− 0.173***

− 2.88

− 0.038

− 0.48

− 0.322***

− 3.35

Sale

− 0.133**

− 2.27

− 0.107

− 0.98

− 0.165**

− 2.33

Service

− 0.232***

− 4.95

− 0.124*

− 1.92

− 0.340***

− 4.93

Other

− 0.293***

− 6.15

− 0.189***

− 3.08

− 0.293***

− 3.70

Parent background

      

Father: CPC member

0.170***

4.89

0.167***

3.75

0.161***

2.94

Mother: CPC member

0.086

1.24

0.053

0.62

0.142

1.26

Father in public sector

0.150

1.05

0.286*

1.73

− 0.159

− 0.49

Mother in public sector

0.164

0.55

0.052

0.15

0.451

0.83

Year (Ref.: y2010)

      

y2012

0.291***

7.53

0.330***

6.39

0.224***

3.97

y2014

0.295***

6.76

0.362***

6.45

0.191***

2.79

y2016

0.317***

4.76

0.565***

5.37

0.091

1.03

y2018

0.785***

15.90

1.007***

15.70

0.400***

5.11

Province fixed effect

Yes

 

Yes

 

Yes

 

Constants

− 3.647***

− 26.38

− 3.175***

− 16.58

− 3.534***

− 17.49

No. of sample

14,084

 

5,496

 

8,588

 

Log likelihood

− 4641.980

 

− 2742.983

 

− 1977.211

 

Pseudo R2

0.202

 

0.160

 

0.134

 

Prob > chi2

0.000

 

0.145

 

0.000

 
  1. The probit regression model is used. Source: Calculated using data from the CFPS of 2010, 2012, 2014, 2016 and 2018.
  2. ***p < 0.01
  3. **p < 0.05
  4. *p < 0
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