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Table 6 DID analysis results-based on quantile regression estimations

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

  1% 3% 6% 10% 30% 60% 90%
Estimation 1: 1990–2007
 Male 0.4422*** 0.2035*** 0.2128*** 0.1682*** 0.1222*** 0.1111*** 0.1051***
(0.11) (0.05) (0.02) (0.02) (0.01) (0.01) (0.01)
 2002 0.5500*** 0.4569*** 0.5691*** 0.5613*** 0.6611*** 0.8523*** 1.0342***
(0.17) (0.05) (0.04) (0.03) (0.02) (0.01) (0.02)
 The treatment group −0.7978*** 0.0713 −0.1811*** −0.1427*** −0.1868*** −0.2071*** −0.2191***
(0.23) (0.10) (0.05) (0.04) (0.02) (0.02) (0.02)
 Male*2002 0.0314 0.1528** 0.1699*** 0.2398*** 0.2270*** 0.1502*** 0.1279***
(0.22) (0.07) (0.05) (0.03) (0.02) (0.02) 0.02
 Male*The treatment group 0.9070*** −0.0695 0.1269* 0.0933* 0.1007*** 0.1074*** 0.1466***
(0.32) (0.14) (0.07) (0.05) (0.03) (0.03) (0.03)
 2002*The treatment group 1.2952*** −0.0884 0.1387 0.1859** 0.2392*** 0.1778*** 0.0311
(0.49) (0.16) (0.11) (0.08) (0.05) (0.04) (0.05)
 DIDterm −1.0092 + 0.3830* 0.0767 −0.0594 −0.1357** −0.1329*** −0.1074*
(0.64) (0.21) (0.14) (0.10) (0.06) (0.05) (0.06)
Estimation 2: 1991–2007
 Male 0.3238** 0.1477*** 0.1267*** 0.0947*** 0.1058*** 0.1084*** 0.1221***
(0.16) (0.04) (0.03) (0.02) (0.02) (0.01) (0.02)
 2007 0.3839** 0.4934*** 0.5300*** 0.5603*** 0.6992*** 0.8726*** 1.0636***
(0.19) (0.05) (0.04) (0.03) (0.02) (0.02) (0.02)
 The treatment group 0.4178 0.0951 0.0212 −0.0655 −0.1340*** −0.1794*** −0.1497***
(0.35) (0.09) (0.06) (0.05) (0.03) (0.03) (0.04)
 Male*2007 0.1083 0.1845*** 0.2462*** 0.3133*** 0.2370*** 0.1620*** 0.0891***
(0.25) (0.06) (0.05) (0.03) (0.02) (0.02) (0.03)
 Male*The treatment group −0.2488 −0.0211 0.0474 0.0868 0.0848* 0.1194*** 0.1394**
(0.47) (0.12) (0.09) (0.06) (0.05) (0.04) (0.06)
 2007*The treatment group −0.0204 −0.1441 −0.0441 0.1129 0.1796*** 0.1606*** −0.0536
(0.56) (0.14) (0.10) (0.07) (0.06) (0.05) (0.07)
 DIDterm 0.2135 0.3710** 0.1540 −0.0571 −0.1155 −0.1542** −0.0654
(0.74) (0.19) (0.14) (0.10) (0.07) (0.06) (0.09)
Estimation 3: 1992–2007
 Male 0.2417 0.2588*** 0.1727*** 0.1212*** 0.1189*** 0.1166*** 0.1169***
(0.16) (0.04) (0.03) (0.02) (0.01) (0.01) (0.02)
 2007 0.2376 0.5811*** 0.4781*** 0.4874*** 0.6212*** 0.8106*** 1.0110***
(0.19) (0.05) (0.04) (0.02) (0.02) (0.01) (0.02)
 The treatment group 0.2146 −0.3440*** −0.0263 −0.0801* −0.1489*** −0.1802*** −0.1702***
(0.34) (0.08) (0.06) (0.04) (0.03) (0.03) (0.04)
 Male*2007 0.2195 0.0831 0.2087*** 0.2808*** 0.2264*** 0.1512*** 0.1060***
(0.24) (0.07) (0.05) (0.03) (0.02) (0.02) (0.03)
 Male*The treatment group −0.0364 0.3459*** 0.0672 0.0678 0.0782* 0.1153*** 0.1342***
(0.45) (0.11) (0.09) (0.06) (0.04) (0.04) (0.05)
 2007*The treatment group 0.1879 0.2933* −0.0157 0.1319* 0.2049*** 0.1544*** −0.0319
(0.55) (0.16) (0.10) (0.07) (0.05) (0.04) (0.06)
 DIDterm 0.0100 −0.0103 0.1452 −0.0351 −0.1187* −0.1429** −0.0684
(0.72) (0.21) (0.14) (0.09) (0.07) (0.06) (0.08)
  1. Note:
  2. l. The other variables such as education, experience years,han race,married are also estimated
  3. 2. SE values are showed in ( )
  4. 3. +, *, **, *** statistically significant in 15%, 10%, 5%, 1% levels
  5. Source: Calculated using CHIP1995, CHIP2002, CHIP2007