From: Intergenerational transmission of economic success in Austria with a focus on migration and gender
Dependent variable: LogWage | ||||
---|---|---|---|---|
Male sample | Female sample | Male sample | Female sample | |
ES | 0.270** (0.110) | 0.128 (0.088) | 0.231** (0.099) | 0.168* (0.095) |
Exp | 0.019 (0.023) | 0.020 (0.013) | 0.037* (0.022) | 0.038** (0.018) |
Exp2 | -0.0004 (0.001) | -0.0004 (0.0004) | -0.001* (0.001) | -0.001* (0.0005) |
Union | 0.105*** (0.038) | -0.007 (0.030) | 0.131*** (0.041) | -0.008 (0.034) |
Education level 2 | 0.083 (0.087) | 0.143** (0.060) | 0.129 (0.086) | 0.193*** (0.069) |
Education level 3 | 0.327*** (0.118) | 0.508*** (0.082) | 0.368*** (0.106) | 0.544*** (0.092) |
MB 2nd Gen | -0.212* (0.115) | 0.037 (0.150) | ||
MB 1st Gen (other EU Member State) | -0.355*** (0.069) | -0.231*** (0.054) | ||
MB 1st Gen (non-EU Country) | -0.252*** (0.048) | -0.256*** (0.044) | ||
MB Dummy | 0.462 (0.449) | 0.340 (0.251) | ||
MB Dummy: Exp | -0.074 (0.047) | -0.043 (0.028) | ||
MB Dummy: Exp2 | 0.002* (0.001) | 0.001 (0.001) | ||
MB Dummy: Union | -0.140 (0.115) | -0.036 (0.082) | ||
MB Dummy: Education level 2 | -0.088 (0.116) | -0.213*** (0.081) | ||
MB Dummy: Education level 3 | -0.0001 (0.150) | -0.095 (0.123) | ||
(Intercept) | 2.338*** (0.257) | 2.139*** (0.135) | 2.138*** (0.247) | 1.907*** (0.179) |
Observations | 709 | 690 | 709 | 690 |
R2 | 0.013 | 0.239 | 0.109 | 0.178 |
Adjusted R2 | 0.001 | 0.229 | 0.094 | 0.163 |
Residual std. error | 9.497 (df = 699) | 7.676 (df = 680) | 9.044 (df = 696) | 7.998 (df = 677) |
Weak instruments | 0.00965*** | 0.00141*** | 0.00443*** | 0.00321*** |
Wu–Hausman | 0.01207** | 0.17499 | 0.02403** | 0.08091* |