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Journal for Labour Market Research

Table 6 Results of union wage premium by wage distribution percentile

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

 

(1) QR

(2) QR_FE

 

Nation

Public

Private

Nation

Public

Private

5%

0.135**

0.156*

0.119

0.039

0.002

0.104

10%

0.086***

0.095**

0.106**

0.039

0.005

0.097

20%

0.067***

0.078***

0.057

0.038

0.010

0.095

30%

0.068***

0.071***

0.028

0.038

0.012

0.095

40%

0.076***

0.059***

0.048

0.037

0.016

0.094

50%

0.077***

0.056**

0.073**

0.036

0.025

0.075

60%

0.079***

0.037*

0.071**

0.034

0.036

0.059

70%

0.063***

0.042*

0.044

0.033

0.040

0.058

80%

0.088***

0.036

0.060

0.033

0.041

0.057

90%

0.091***

0.062

0.015

0.033

0.047

0.056

95%

0.068***

0.078

0.014

0.032

0.050

0.049

  1. The controlled variables include demographic factors (years of schooling, year of work experience, health status, sex, ethnicity, urban hukou, CPC member, married), work-related factors (occupation, industry sector, workplace ownership sector), province-level region and survey year (2012, 2014, 2016, and 2018) dummies, which are not presented in the table. These results are available upon request. Source: Calculated using data from the CFPS of 2010, 2012, 2014, 2016 and 2018
  2. QR quantile regression model; FE_QR fixed effects quantile regression model. 5 ~ 95% indicate the wage distribution percentiles (5% is the lowest wage level, 95% is the highest wage level)
  3. ***p < 0.01
  4. **p < 0.05
  5. *p < 0.1
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