From: Gender wage gap in European emerging markets: a meta-analytic perspective
Estimator | Cluster-robust OLS | Cluster-robust WLS [1/SE] | Multi-level mixed-effects RML | Cluster-robust random-effects panel GLS | Cluster-robust fixed-effects panel LSDV |
---|---|---|---|---|---|
Meta-independent variable (default category)/model | [1] | [2] | [3] | [4] | [5] |
EU membership status (2004 member) | |||||
 2007 and 2013 member | 0.0392 (0.037) | 0.0729 (0.050) | 0.0045 (0.013) | 0.0047 (0.014) | − 0.0036 (0.011) |
 Membership candidate | − 0.0498 ** (0.023) | − 0.0748 * (0.046) | 0.0408 (0.026) | 0.0416 (0.027) | − 0.0922 * (0.054) |
 Nonmember | − 0.0054 (0.038) | − 0.0242 (0.041) | − 0.0617*** (0.018) | − 0.0614*** (0.018) | − 0.0750*** (0.004) |
Estimation period | |||||
 Average estimation year | 0.0065*** (0.001) | 0.0057*** (0.001) | 0.0031 ** (0.001) | 0.0032 ** (0.001) | 0.0012 (0.002) |
Taget region (region unspecified) | |||||
 Urban region | − 0.0642 (0.044) | − 0.1651*** (0.061) | − 0.0577* (0.035) | − 0.0580 (0.036) | − 0.0216*** (0.001) |
 Rural region | 0.0402 (0.067) | − 0.0387 (0.046) | − 0.0508 (0.043) | − 0.0503 (0.044) | dropped |
Target cohort (cohort unspecified) | |||||
 Young age | − 0.1368** (0.064) | − 0.0620 (0.074) | 0.0094 (0.020) | 0.0081 (0.021) | 0.0646*** (0.011) |
 Middle age | − 0.0425 (0.064) | 0.0507 (0.074) | 0.1033*** (0.020) | 0.1020*** (0.021) | 0.1585*** (0.011) |
 Older age | 0.0810 (0.064) | 0.1740** (0.074) | 0.2266 *** (0.020) | 0.2254*** (0.021) | 0.2818*** (0.011) |
Target firm ownership (ownership unspecified) | |||||
 State enterprise | − 0.0571*** (0.021) | − 0.0175 (0.027) | − 0.0375** (0.018) | − 0.0375** (0.018) | − 0.0375** (0.017) |
 Private firm | 0.0383* (0.020) | 0.0150 (0.024) | 0.0391* (0.022) | 0.0391* (0.023) | 0.0389 (0.024) |
Payment period (monthly) | |||||
 Annual | 0.0432 (0.040) | 0.0394 (0.041) | 0.0262 (0.041) | 0.0265 (0.042) | dropped |
 Weekly | 0.0494* (0.029) | − 0.0046 (0.029) | − 0.0247 (0.029) | − 0.0242 (0.029) | dropped |
 Hourly | 0.0258 (0.023) | − 0.0306 (0.029) | 0.0789*** (0.009) | 0.0787*** (0.009) | 0.0874*** (0.009) |
Data type (cross-sectional data) | |||||
 Panel data | 0.0360 (0.051) | 0.0743 (0.060) | 0.0121 (0.040) | 0.0125 (0.041) | dropped |
Survey data used (government statistics) | |||||
 Original household survey | 0.0018 (0.030) | 0.0809** (0.037) | 0.0177 (0.015) | 0.0176 (0.016) | 0.0188*** (0.004) |
Estimator | |||||
 Non-OLS (OLS) | 0.0289 (0.027) | 0.0078 (0.016) | 0.0254** (0.012) | 0.0255** (0.013) | 0.0200 (0.015) |
 IV/2SLS/3SLS | − 0.0324 (0.042) | − 0.0890 (0.056) | 0.0438 (0.045) | 0.0434 (0.046) | dropped |
Control for selection bias | |||||
 Control for selection bias | 0.0501 (0.045) | 0.0926*** (0.034) | 0.0670** (0.033) | 0.0670** (0.034) | 0.0617 (0.053) |
Selection of control variable | |||||
 Occupation | 0.0132 (0.026) | 0.0135 (0.025) | − 0.0271 (0.021) | − 0.0269 (0.022) | − 0.0363 (0.023) |
 Health | − 0.0204 (0.078) | 0.0022 (0.099) | 0.0034 (0.049) | 0.0032 (0.051) | dropped |
 Firm size | − 0.0374 (0.036) | 0.0087 (0.033) | − 0.0092 (0.018) | − 0.0092 (0.018) | − 0.0155 (0.022) |
 Trade union | 0.0085 (0.059) | 0.0239 (0.040) | 0.0998 (0.062) | 0.0995 (0.063) | 0.1121* (0.067) |
 Location fixed effects | 0.0489** (0.023) | 0.0227 (0.025) | 0.0261 (0.017) | 0.0261 (0.017) | 0.0396* (0.020) |
 Industry fixed effects | 0.0015 (0.039) | − 0.0195 (0.037) | 0.0322 * (0.019) | 0.0321 (0.020) | 0.0370 (0.023) |
 Time fixed effects | − 0.0051 (0.046) | − 0.0566 (0.056) | 0.0604** (0.025) | 0.0598** (0.026) | 0.0881 *** (0.020) |
Quality level | |||||
 Quality level | − 0.0001 (0.003) | − 0.0057** (0.003) | − 0.0031 (0.003) | − 0.0031 (0.003) | dropped |
 SE | − 0.1479 (0.425) | − 1.9418** (0.819) | 0.5074* (0.265) | 0.5040* (0.271) | 0.6273** (0.248) |
 Intercept | − 13.1792*** (2.227) | − 11.4567*** (1.871) | − 6.4962** (2.730) | − 6.5623** (2.778) | − 2.7206 (3.304) |
 K | 670 | 670 | 670 | 670 | 670 |
 R2 | 0.325 | 0.556 | – | 0.123 | 0.041 |