From: Gender effects of the COVID-19 pandemic in the Swiss labor market
Employed | Unemployed | Non-active | |
---|---|---|---|
Female | −0.0413\(^{***}\) | 0.00300\(^{*}\) | 0.0370\(^{***}\) |
(0.00289) | (0.00164) | (0.00248) | |
CovInd | −0.0101\(^{***}\) | 0.00346 | 0.00739\(^{**}\) |
(0.00354) | (0.00252) | (0.00299) | |
Female \(\times\) CovInd | −0.00357 | −0.000196 | 0.00336 |
(0.00490) | (0.00350) | (0.00415) | |
LowTele | −0.0137\(^{***}\) | 0.00803\(^{***}\) | 0.00508\(^{*}\) |
(0.00358) | (0.00210) | (0.00306) | |
LowTele \(\times\) female | −0.0176\(^{***}\) | −0.00170 | 0.0195\(^{***}\) |
(0.00479) | (0.00281) | (0.00410) | |
LowTele \(\times\) CovInd | −0.0159\(^{**}\) | 0.0117\(^{***}\) | 0.00433 |
(0.00623) | (0.00442) | (0.00527) | |
LowTele \(\times\) female \(\times\) CovInd | −0.00325 | −0.0122\(^{*}\) | 0.0163\(^{**}\) |
(0.00890) | (0.00631) | (0.00753) | |
Constant | 0.883\(^{***}\) | 0.0230\(^{***}\) | 0.0942\(^{***}\) |
(0.00786) | (0.00445) | (0.00674) | |
Age FE | YES | YES | YES |
Canton FE | YES | YES | YES |
Education FE | YES | YES | YES |
NOGA FE | YES | YES | YES |
Observations | 171218 | 171218 | 171218 |
\(R^2\) | 0.0611 | 0.0787 | 0.0415 |