Skip to main content

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