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

Journal for Labour Market Research

Table 3 Sensitivity checks based on the OLS method

	(1) Nation	(2) Public	(3) Private
(1) Model1: using employee samples (non-managers)
Union	0.083***	0.064***	0.079**
	(4.31)	(2.75)	(2.32)
Public	0.052***
	(3.26)
Control variables	Yes	Yes	Yes
No. of observations	12,992	5019	7973
R-squared	0.252	0.266	0.240
(2) Model2: using adjusted hourly wage		0.266
Union	0.080***	0.061***	0.095***
	(5.05)	(3.02)	(3.56)
Public	0.096***
	(7.24)
Control variables	Yes	Yes	Yes
No. of observations	11,916	4488	7428
R-squared	0.189	0.176	0.185
(3) Model 3: adding family background variable
Union	0.107***	0.843***	0.107***
	(5.46)	(3.45)	(3.10)
Public	0.016
	(0.94)
Father's education	0.007***	0.003	0.011***
	(3.87)	(1.04)	(4.25)
Mother's education	0.005**	0.004	0.006**
	(2.55)	(1.51)	(2.31)
Control variables	Yes	Yes	Yes
No. of observations	12,667	4997	7670
R-squared	0.219	0.219	0.214

The OLS method is used. The t-values are in parentheses. The control 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. Model1: limited the samples to the employees (excluding managers); Model2: excluded the samples with the wage levels higher or less than three times standard deviations. Source: Calculated using data from the CFPS of 2010, 2012, 2014, 2016 and 2018.
***p < 0.01.
**p < 0.05.
*p < 0.1