Skip to main content

Table 5 DID analysis results—based on OLS estimations

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

  1990 vs. 1995 1990 vs. 2002 1990 vs. 2007
The initial years: 1990 Coeff. SE. Coeff. SE. Coeff. SE.
 Male 0.1327*** 0.0123 0.1552*** 0.0135 0.1404*** 0.0086
 year 0.0062 0.0140 0.4767*** 0.0194 0.7921*** 0.0146
 The treatment group −0.2598*** 0.0233 −0.0947*** 0.0183 −0.2110*** 0.0198
 Male*year 0.0319* 0.0181 0.0420* 0.0253 0.1616*** 0.0185
 Male*The treatment group 0.0649** 0.0309 −0.1097*** 0.0247 0.1361*** 0.0254
 year*The treatment −0.0817** 0.0385 −0.0144 0.0344 0.1712*** 0.0409
 DIDterm −0.0077 0.0503 0.0572 0.0468 −0.1125** 0.0508
  1991 vs. 1995 1991 vs. 2002 1991 vs. 2007
The initial years: 1991 Coeff. SE. Coeff. SE. Coeff. SE.
 Male 0.1249*** 0.0133 0.1603*** 0.0185 0.1194*** 0.0112
 year 0.0207 0.0142 0.4845*** 0.0214 0.8015*** 0.0155
 The treatment group −0.2753*** 0.0230 −0.1201*** 0.0223 −0.1263*** 0.0206
 Male*year 0.0106 0.0191 0.0332 0.0284 0.1800*** 0.0199
 Male*The treatment group 0.0252 0.0312 −0.1335*** 0.0313 0.1060*** 0.0306
 year*The treatment −0.0819** 0.0383 0.0107 0.0367 0.0866** 0.0412
 DIDterm −0.0568 0.0504 0.0809 0.0506 −0.0803 + 0.0536
  1992 vs. 1995 1992 vs. 2002 1992 vs. 2007
The initial years: 1992 Coeff. SE. Coeff. SE. Coeff. SE.
 Male 0.1232*** 0.0133 0.1429*** 0.0187 0.1209*** 0.0110
 year −0.0525*** 0.0141 0.4128*** 0.0214 0.7325*** 0.0153
 The treatment group −0.2555*** 0.0217 −0.1353*** 0.0229 −0.1432*** 0.0210
 Male*year 0.0150 0.0191 0.0529* 0.0285 0.1809*** 0.0198
 Male*The treatment group 0.1262*** 0.0303 −0.1127*** 0.0325 0.1174*** 0.0298
 year*The treatment −0.1364*** 0.0383 0.0256 0.0370 0.1028** 0.0413
 DIDterm −0.0548 0.0496 0.0593 0.0513 −0.0922* 0.0531
  1. Note:
  2. 1. Estimations using Kaitz index in models. Treatment group: the region where the gender wage gap is lowest before the MW implementation, and the Kaitz index is higher after the MW implementation
  3. 2. The other varibles such as education, experience years,han race,married are also estimated
  4. 3. *, **, *** statistically significant in 10%,5%,1% levels
  5. Source: Calculated using CHIP1995,CHIP2002,CHIP2007