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 6 Oaxaca-Blinder decomposition of income gaps

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

		Urban residents			Rural migrants			Urban residents
		vs. rural migrants			vs. urban migrants			vs. urban migrants
A: W=1		coef.	s.e.	%	coef.	s.e.	%	coef.	s.e.	%
Total difference	Difference	0.238	0.002		-0.488	0.006		-0.250	0.006
	Explained	0.232	0.003	97	-0.255	0.005	52	-0.078	0.003	31
	Unexplained	0.006	0.003	3	-0.233	0.006	48	-0.172	0.005	69
Formal employment	Difference	0.252	0.004		-0.604	0.008		-0.351	0.008
	Explained	0.220	0.004	87	-0.351	0.008	58	-0.141	0.005	40
	Unexplained	0.033	0.005	13	-0.252	0.009	42	-0.210	0.007	60
Self employed	Difference	-0.096	0.007		-0.236	0.015		-0.333	0.015
	Explained	-0.096	0.006	100	-0.032	0.009	14	-0.110	0.007	33
	Unexplained	0.000	0.008	0	-0.204	0.016	86	-0.222	0.014	67
No contract	Difference	0.153	0.004		-0.302	0.008		-0.149	0.008
	Explained	0.212	0.004	139	-0.150	0.006	50	-0.003	0.006	2
	Unexplained	-0.060	0.005	-39	-0.152	0.008	50	-0.146	0.007	98
Recent migrants	Difference	0.267	0.003		-0.475	0.007		-0.208	0.007
	Explained	0.257	0.003	96	-0.253	0.005	53	-0.060	0.004	29
	Unexplained	0.010	0.003	4	-0.222	0.007	47	-0.148	0.005	71
Non recent migrants	Difference	0.160	0.004		-0.510	0.011		-0.350	0.011
	Explained	0.163	0.003	102	-0.246	0.009	48	-0.120	0.006	34
	Unexplained	-0.003	0.004	-2	-0.264	0.012	52	-0.230	0.009	66
B: W=0		coef.	s.e.	%	coef.	s.e.	%	coef.	s.e.	%
Total difference	Difference	0.238	0.002		-0.488	0.006		-0.250	0.006
	Explained	0.168	0.005	71	-0.317	0.007	65	-0.157	0.006	63
	Unexplained	0.070	0.005	29	-0.171	0.007	35	-0.094	0.006	37
Formal employment	Difference	0.252	0.004		-0.604	0.008		-0.351	0.008
	Explained	0.228	0.008	90	-0.414	0.010	69	-0.211	0.009	60
	Unexplained	0.025	0.008	10	-0.190	0.011	31	-0.140	0.009	40
Self employed	Difference	-0.096	0.007		-0.236	0.015		-0.333	0.015
	Explained	-0.059	0.006	62	-0.053	0.015	22	-0.141	0.010	42
	Unexplained	-0.037	0.009	38	-0.184	0.019	78	-0.192	0.015	58
No contract	Difference	0.153	0.004		-0.302	0.008		-0.149	0.008
	Explained	0.111	0.007	73	-0.185	0.009	61	-0.102	0.009	69
	Unexplained	0.042	0.007	27	-0.117	0.010	39	-0.047	0.010	31
Recent migrants	Difference	0.267	0.003		-0.475	0.007		-0.208	0.007
	Explained	0.175	0.005	66	-0.324	0.008	68	-0.135	0.007	65
	Unexplained	0.092	0.006	34	-0.151	0.008	32	-0.073	0.007	35
Non recent migrants	Difference	0.160	0.004		-0.510	0.011		-0.350	0.011
	Explained	0.117	0.009	73	-0.289	0.012	57	-0.232	0.011	66
	Unexplained	0.044	0.010	27	-0.221	0.014	43	-0.118	0.012	34

Notes: Results are based on the income regressions of Tables 5.
Samples include those aged 16–60 years old and who are out of school.
Observations with no or zero income declared were dropped.
Results in panel A (W=1) are calculated based on the counterfactual ${\bar{X}}^{m} {\hat{β}}^{u}$ , and those in panel B (W=0) based on ${\bar{X}}^{u} {\hat{β}}^{m}$ .
Source: 1% population survey of China (2005).

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