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) |