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Table 9 Robustness check (2): Decomposition using different samples and variables

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

 

(1) Employees

(2) Excluding occupation and industry

 

Endowment

(a)

Price

(b)

Endowment

(c)

Price

(d)

Endowment

(e)

Price

(f)

Endowment

(g)

Price

(h)

Value: wage gap

0.233

0.023

0.204

0.052

0.243

0.079

0.236

0.086

Contribution rate (%)

 Total

90.7%

9.3%

79.6%

20.4%

75.5%

24.5%

73.3%

26.7%

Each factor

 Union

6.1%

− 1.7%

11.0%

− 6.6%

5.7%

− 1.4%

10.0%

− 5.7%

 Education

69.0%

124.3%

34.9%

158.4%

70.1%

84.9%

45.5%

109.5%

 Experience

0.4%

86.4%

− 0.1%

86.9%

0.3%

67.9%

0.1%

68.1%

 Health

− 0.5%

− 1.2%

− 0.6%

− 1.1%

− 0.2%

− 0.6%

− 0.3%

− 0.6%

 Gender

1.3%

34.8%

3.7%

32.4%

1.2%

31.9%

4.1%

29.1%

 Ethnicity

0.0%

− 0.4%

0.0%

− 0.4%

− 0.1%

− 0.7%

− 0.1%

− 0.7%

 Married

− 1.7%

− 31.5%

0.4%

− 33.6%

− 1.4%

− 31.7%

1.0%

− 34.1%

 Party

5.6%

0.8%

3.1%

3.3%

2.7%

− 1.4%

6.7%

− 5.4%

 Occupation

8.5%

-23.3%

28.3%

− 43.0%

    

 Industry

4.5%

21.6%

− 0.2%

26.3%

    

 Region

− 12.7%

1.1%

− 12.9%

1.3%

− 9.5%

4.9%

− 10.9%

6.4%

 Year

10.2%

16.2%

12.2%

14.2%

6.6%

36.0%

17.2%

25.4%

 Constant

0.0%

− 217.7%

0.0%

− 217.7%

0.0%

− 165.3%

0.0%

− 165.3%

  1. Source: Calculated using data from the CFPS of 2010, 2012, 2014, 2016 and 2018. B-O decomposition method (Blinder 1973; Oaxaca 1973) was used. Estimations (a) and (c) were based on Eq. (11), estimations (b) and (d) are based on Eq. (12) expressed in the text. The results of wage functions based on the OLS method are used in the decomposition analysis