Table 2 Descriptive statistics of the variables.
From: The widening gender wage gap in the gig economy in China: the impact of digitalisation
Variable | Variable definition | Overall | Gig Sector | Traditional Sector | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Female | Male | Female | Male | Female | Male | ||||||||||||||||||||
Mean | S.D. | Min. | Max. | Mean | S.D. | Min. | Max. | Mean | S.D. | Min. | Max. | Mean | S.D. | Min. | Max. | Mean | S.D. | Min. | Max. | Mean | S.D. | Min. | Max. | ||
lnW | Logarithm of monthly wages | 7.550 | 1.020 | 0.000 | 11.721 | 7.922 | 0.958 | 0.173 | 12.347 | 7.586 | 0.747 | 4.331 | 10.769 | 7.977 | 0.765 | 0.173 | 11.685 | 7.518 | 1.207 | 0.000 | 11.721 | 7.875 | 1.094 | 0.375 | 12.347 |
Gender | Female = 1, Male = 0 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 |
DEI | Provincial digital economy index | 2.568 | 0.638 | 1.538 | 4.889 | 2.545 | 0.630 | 1.538 | 4.889 | 2.777 | 0.735 | 1.538 | 4.889 | 2.674 | 0.671 | 1.538 | 4.889 | 2.675 | 0.684 | 1.538 | 4.889 | 2.633 | 0.673 | 1.538 | 4.889 |
DEI ∙ Gender | Gender and DEI Interaction | 2.568 | 0.638 | 1.538 | 4.889 | 0.000 | 0.000 | 0.000 | 0.000 | 2.777 | 0.735 | 1.538 | 4.889 | 0.000 | 0.000 | 0.000 | 0.000 | 2.675 | 0.684 | 1.538 | 4.889 | 0.000 | 0.000 | 0.000 | 0.000 |
Experience | Work experience (Years) | 30.047 | 12.101 | 0.000 | 54.000 | 30.070 | 11.201 | 0.000 | 54.000 | 24.355 | 11.463 | 0.000 | 54.000 | 26.948 | 11.587 | 0.000 | 54.000 | 26.639 | 12.358 | 0.000 | 54.000 | 29.017 | 11.023 | 0.000 | 54.000 |
Exp²/100 | Squared work experience /100 | 10.492 | 7.096 | 0.000 | 29.160 | 10.297 | 6.267 | 0.000 | 29.160 | 7.245 | 5.737 | 0.000 | 29.160 | 8.604 | 5.990 | 0.000 | 29.160 | 8.623 | 6.722 | 0.000 | 29.160 | 9.634 | 6.040 | 0.000 | 29.160 |
Education level | Highest level of education attained | 7.483 | 4.337 | 0.000 | 22.000 | 9.049 | 3.476 | 0.000 | 19.000 | 9.849 | 3.895 | 0.000 | 22.000 | 10.268 | 3.558 | 0.000 | 19.000 | 9.007 | 4.509 | 0.000 | 19.000 | 9.741 | 3.496 | 0.000 | 19.000 |
Marital status | Married = 1, Unmarried/Other = 0 | 0.946 | 0.226 | 0.000 | 1.000 | 0.911 | 0.284 | 0.000 | 1.000 | 0.900 | 0.300 | 0.000 | 1.000 | 0.888 | 0.315 | 0.000 | 1.000 | 0.944 | 0.230 | 0.000 | 1.000 | 0.911 | 0.284 | 0.000 | 1.000 |
Health condition | Relatively/Very Healthy = 1, Relatively/Very Unhealthy or General = 0 | 0.583 | 0.493 | 0.000 | 1.000 | 0.650 | 0.477 | 0.000 | 1.000 | 0.689 | 0.463 | 0.000 | 1.000 | 0.707 | 0.455 | 0.000 | 1.000 | 0.623 | 0.485 | 0.000 | 1.000 | 0.666 | 0.472 | 0.000 | 1.000 |
Hukou | Non-agricultural = 1, Agricultural = 0 | 0.143 | 0.350 | 0.000 | 1.000 | 0.175 | 0.380 | 0.000 | 1.000 | 0.322 | 0.467 | 0.000 | 1.000 | 0.313 | 0.464 | 0.000 | 1.000 | 0.260 | 0.439 | 0.000 | 1.000 | 0.251 | 0.433 | 0.000 | 1.000 |
Social security score | From 0 (no coverage) to 6 (full coverage) | 1.743 | 1.246 | 0.000 | 6.000 | 1.800 | 1.324 | 0.000 | 6.000 | 1.974 | 1.599 | 0.000 | 6.000 | 1.971 | 1.559 | 0.000 | 6.000 | 2.201 | 1.729 | 0.000 | 6.000 | 2.204 | 1.670 | 0.000 | 6.000 |
Industry upgrade index | Tertiary to secondary industry value-added ratio | 1.156 | 0.387 | 0.704 | 5.022 | 1.138 | 0.402 | 0.704 | 5.022 | 1.161 | 0.474 | 0.704 | 5.022 | 1.137 | 0.436 | 0.704 | 5.022 | 1.218 | 0.552 | 0.704 | 5.022 | 1.175 | 0.524 | 0.704 | 5.022 |
Labour dispute success rate | Three-year average labour success to dispute resolution rate | 0.423 | 0.126 | 0.077 | 0.710 | 0.427 | 0.129 | 0.077 | 0.710 | 0.383 | 0.136 | 0.077 | 0.710 | 0.401 | 0.136 | 0.077 | 0.710 | 0.406 | 0.135 | 0.077 | 0.710 | 0.416 | 0.139 | 0.077 | 0.710 |
Observations | Â | 3609 | 4309 | 1681 | 1974 | 1928 | 2335 | ||||||||||||||||||
