Impact of minimum wage on gender wage gaps in urban China

Li, Shi; Ma, Xinxin

doi:10.1186/s40175-015-0044-4

IZA Journal of Labor & Development

Table 3 Results of gender wage gaps in regions with different MW levels

From: Impact of minimum wage on gender wage gaps in urban China

	Total		High MW region		Middle MW region		Low MW region
	Coeff.	SE.	Coeff.	SE.	Coeff.	SE.	Coeff.	SE.
1995
Mean	0.1141***	0.0116	0.1454***	0.0247	0.0762***	0.0201	0.1239***
1%	0.3035	0.2239	−0.0442	0.2594	0.0908	0.3016	0.4987	0.3284
3%	0.1867***	0.0411	0.1963	0.1409	0.2015	0.1283	0.2429***	0.0541
6%	0.1569***	0.0293	0.1986***	0.0579	0.1115**	0.0474	0.1619***	0.0328
10%	0.1431***	0.0172	0.1747***	0.0439	0.1358***	0.0343	0.1303***	0.0278
30%	0.0885***	0.0110	0.1556***	0.0255	0.0540**	0.0227	0.1041***	0.0156
60%	0.0708***	0.0113	0.1066***	0.0230	0.0634***	0.0176	0.0737***	0.0111
90%	0.0714***	0.0177	0.1238***	0.0365	0.0440*	0.0229	0.0692***	0.0194
2002
Mean	0.0955***	0.0126	0.0970***	0.0242	0.1249***	0.0185	0.0988***	0.0199
1%	0.0098	0.2381	0.2000	0.4666	0.1138	0.2534	−0.0921	0.2274
3%	0.1279***	0.0452	0.1465	0.1037	0.1717**	0.0707	0.0779	0.0691
6%	0.1269***	0.0265	0.1150**	0.0504	0.1738***	0.0488	0.1062*	0.0624
10%	0.1120***	0.0200	0.1345***	0.0511	0.1302***	0.0322	0.1260***	0.0368
30%	0.0933***	0.0143	0.0857***	0.0288	0.0994***	0.0210	0.1000***	0.0276
60%	0.0925***	0.0137	0.1094***	0.0278	0.1129***	0.0173	0.1008***	0.0232
90%	0.0610***	0.0220	0.0736**	0.0366	0.0952***	0.0244	0.0583**	0.0293
2007
Mean	0.2277***	0.0119	0.2022	0.0312	0.2612	0.0183	0.2071	0.0185
1%	0.2592	0.1646	0.1173	0.7390	0.2011	0.2572	0.3540	0.3595
3%	0.3451***	0.0429	0.1410***	0.1684	0.3656***	0.0791	0.3492***	0.0881
6%	0.3137***	0.0271	0.2604***	0.0723	0.3285***	0.0365	0.3194***	0.0558
10%	0.2803***	0.0218	0.1769***	0.0527	0.3172***	0.0299	0.2871***	0.0347
30%	0.2156***	0.0134	0.2241***	0.0297	0.2431***	0.0178	0.2141***	0.0276
60%	0.2181***	0.0145	0.2396***	0.0335	0.2383***	0.0195	0.1751***	0.0186
90%	0.2319***	0.0190	0.1961***	0.0438	0.2921***	0.0333	0.1442***	0.0275

Note:
1. Coefficients of the male dummy are showed in Table 3 (The other varibles are education, experience years, han race and the married dummy)
2. OLS based on wage mean, the results of 1% ~ 90% wage distribution are estimated using quantile regression model
3. *, **, *** statistically significant in 10%, 5%, 1% levels
Source: Calculated using CHIP1995, CHIP2002, CHIP2007

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