Precarious work and labor market segmentation: a comparative study on mainland China and Hong Kong

The Journal of Chinese Sociology

Table 6 Differentials in wages and return on education between precarious workers and non-precarious workers in mainland China and Hong Kong (robustness check)

	CLDS subsample of major cities		SUNS		HKPSSD
	Non-precarious work	Precarious work	Non-precarious work	Precarious work	Non-precarious work	Precarious work
Wage differential (OLS)	–	−.134** (.047)	–	−.264*** (.047)	–	−.524*** (.029)
Wage differential (propensity score weighting)	–	−.109* (.051)	–	−.260** (.081)	–	−.461*** (.042)
Wage differential (propensity score matching)	–	−.139* (.065)	–	−.271*** (.076)	–	−.399*** (.040)
Differential of return on education (OLS)	–	.003 (.012)	–	−.017 (.011)	–	−.052*** (.006)
Differential of return on education (switching regression)	.075*** (.007)	.059* (.027)	.062*** (.005)	.067** (.021)	.061*** (.003)	.015 (.011)

(1) For the list of control variables, please refer to the note in Table 3. (2) The non-standardized regression coefficients are reported, and the numbers in parentheses are standard errors. (3) Regarding the subsample of the CLDS data, “major cities” refers to large- and medium-sized cities, as well as economically developed cities in the coastal region, including direct-administered municipalities, sub-provincial municipalities, provincial capitals and cities with a high GDP per capita in the coastal provinces. The analytical sample size is 1846 persons. (4) The analytical sample size of the SUNS data is 4366 persons. (5) *p < 0.05, **p < 0.01, ***p < 0.001 (two-tailed test)