Are migrants discriminated against in Chinese urban labour markets?

Gagnon, Jason; Xenogiani, Theodora; Xing, Chunbing

doi:10.1186/2193-9020-3-17

IZA Journal of Labor & Development

Table 5 OLS income regression results: dependent variable=log (hourly income)

From: Are migrants discriminated against in Chinese urban labour markets?

	Formal contract	Self-employed	Without a contract
A: Urban residents
Age	0.034***	0.017***	0.020***
	(0.002)	(0.004)	(0.002)
Age2	-0.000***	-0.000***	-0.000***
	(0.000)	(0.000)	(0.000)
Female	-0.161***	-0.259***	-0.189***
	(0.003)	(0.008)	(0.004)
Junior middle school	0.372***	0.121***	0.213***
	(0.009)	(0.013)	(0.010)
Senior middle school	0.650***	0.233***	0.483***
	(0.009)	(0.014)	(0.010)
College and above	1.070***	0.573***	1.021***
	(0.009)	(0.023)	(0.010)
Unmarried	-0.009	-0.065***	-0.075***
	(0.007)	(0.019)	(0.008)
R-squared	0.349	0.127	0.368
N	128509	25832	65371
B: Rural migrants
Age	0.039***	0.021***	0.037***
	(0.002)	(0.004)	(0.002)
Age2	-0.001***	-0.000***	-0.001***
	(0.000)	(0.000)	(0.000)
Female	-0.181***	-0.293***	-0.194***
	(0.006)	(0.011)	(0.004)
Junior middle school	0.195***	0.170***	0.160***
	(0.009)	(0.012)	(0.006)
Senior middle school	0.441***	0.279***	0.349***
	(0.011)	(0.017)	(0.008)
College and above	0.948***	0.527***	0.746***
	(0.018)	(0.058)	(0.019)
Unmarried	-0.022**	-0.025	-0.049***
	(0.010)	(0.022)	(0.007)
R-squared	0.213	0.127	0.195
N	32947	16536	45138
C: Urban migrants
Age	0.077***	0.006	0.049***
	(0.005)	(0.012)	(0.005)
Age2	-0.001***	-0.000	-0.001***
	(0.000)	(0.000)	(0.000)
Female	-0.187***	-0.229***	-0.162***
	(0.012)	(0.028)	(0.013)
Junior middle school	0.252***	0.189***	0.177***
	(0.040)	(0.047)	(0.030)
Senior middle school	0.532***	0.348***	0.419***
	(0.040)	(0.049)	(0.030)
College and above	1.089***	0.687***	0.916***
	(0.040)	(0.059)	(0.032)
Unmarried	0.025	0.157***	-0.003
	(0.017)	(0.051)	(0.020)
R-squared	0.382	0.175	0.340
N	11482	3272	7460

Notes: *, **, and *** represent significance levels of 10%, 5%, and 1%, respectively.
Samples include those aged 16–60 years old and who are out of school.
Observations with no or zero income declared were dropped.
Province dummies and a constant are included in the regressions but not reported.
Standard errors are reported in brackets.
Source: 1% population survey of China (2005).

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