Table 21.
Unconditional effects on the mean and Gini index of labour income (with no sample weights)
| Group of employees | Mean value | Gini index | ||
|---|---|---|---|---|
| UE | UPE | UE | UPE | |
| Total sample | 337.14*** | 149.77*** | 0.005*** | 0.002* |
| Male | 558.23*** | 264.70*** | 0.004** | 0.002 |
| Female | 92.61 | 54.98 | 0.003** | 0.000 |
| Aged 25–35 | 268.87*** | 66.28 | 0.002 | 0.002 |
| Aged 36–50 | 231.24*** | 67.97 | 0.003 | 0.001 |
| Aged 51–64 | 515.37*** | 320.36*** | 0.007*** | 0.004 |
| Non-graduated | 243.20*** | 173.89** | 0.002 | 0.002 |
| Graduated | 421.00*** | 221.09* | 0.008*** | 0.002 |
| Less COVID-19-infected area | 220.27*** | 36.95 | 0.003* | 0.000 |
| More COVID-19-infected area | 461.43*** | 268.42*** | 0.006*** | 0.004** |
Notes: Standard errors are clustered by NUTS-3 region. The table presents coefficients of the variable of interest (i.e. high WFH feasibility) only. Employees with high WFH feasibility level are defined as those reporting a value of the WFH feasibility index over the (non-weighted) sample median (i.e. 53.4). UE estimates are based on a model specification which only includes the variable of interest, while for UPE estimates, additional covariates are included in the model (see Sect. 4)
*p < 0.1; **p < 0.05; ***p < 0.01