From: Gender effects of the COVID-19 pandemic in the Swiss labor market
Employed | Unemployed | Non-active | |
---|---|---|---|
Female | −0.00362 | −0.00551\(^{***}\) | 0.00864\(^{***}\) |
(0.00325) | (0.00197) | (0.00288) | |
CovInd | −0.0157\(^{***}\) | 0.00737\(^{**}\) | 0.0103\(^{***}\) |
(0.00413) | (0.00313) | (0.00375) | |
Female \(\times\) CovInd | −0.0115\(^{**}\) | −0.00586 | 0.0162\(^{***}\) |
(0.00576) | (0.00437) | (0.00523) | |
Married | 0.0311\(^{***}\) | −0.0134\(^{***}\) | −0.0166\(^{***}\) |
(0.00323) | (0.00196) | (0.00286) | |
Married \(\times\) female | −0.0692\(^{***}\) | 0.00732\(^{***}\) | 0.0603\(^{***}\) |
(0.00559) | (0.00424) | (0.00508) | |
Married \(\times\) CovInd | −0.00110 | −0.00373 | 0.00225 |
(0.00559) | (0.00424) | (0.00508) | |
Married \(\times\) female \(\times\) CovInd | 0.0176\(^{**}\) | 0.00256 | −0.0185\(^{***}\) |
(0.00776) | (0.00589) | (0.00704) | |
Constant | 0.706\(^{***}\) | 0.0329 | 0.260\(^{***}\) |
(0.0395) | (0.0234) | (0.0350) | |
Age FE | YES | YES | YES |
Canton FE | YES | YES | YES |
Education FE | YES | YES | YES |
NOGA FE | YES | YES | YES |
ISCO FE | YES | YES | YES |
Observations | 186881 | 186881 | 186881 |
\(R^2\) | 0.419 | 0.0429 | 0.460 |