Table 7 The effect of COVID-19 and gender on STW
From: Gender effects of the COVID-19 pandemic in the Swiss labor market
In short-time work | |||
|---|---|---|---|
(1) | (2) | (3) | |
Female | 0.000416 | −0.000910 | 0.00154 |
(0.00139) | (0.00172) | (0.00160) | |
CovInd | 0.112\(^{***}\) | 0.113\(^{***}\) | 0.105\(^{***}\) |
(0.00251) | (0.00309) | (0.00304) | |
Female \(\times\) CovInd | 0.0311\(^{***}\) | 0.0370\(^{***}\) | 0.0198\(^{***}\) |
(0.00360) | (0.00443) | (0.00430) | |
Child0-6 \(\times\) CovInd | 0.00167 | ||
(0.00731) | |||
Child7-14 \(\times\) CovInd | 0.00130 | ||
(0.00752) | |||
Child0-6 \(\times\) female \(\times\) CovInd | −0.0204\(^{*}\) | ||
(0.0105) | |||
Child7-14 \(\times\) female \(\times\) CovInd | −0.0177\(^{*}\) | ||
(0.0106) | |||
LowTele | −0.000404 | ||
(0.00207) | |||
LowTele \(\times\) female | −0.00146 | ||
(0.00285) | |||
LowTele \(\times\) CovInd | 0.0241\(^{***}\) | ||
(0.00540) | |||
LowTele \(\times\) female \(\times\)CovInd | 0.0438\(^{***}\) | ||
(0.00787) | |||
Constant | 0.0146 | 0.0157 | 0.00246 |
(0.0220) | (0.0238) | (0.00396) | |
Age FE | YES | YES | YES |
Canton FE | YES | YES | YES |
Education FE | YES | YES | YES |
NOGA FE | YES | YES | YES |
ISCO FE | YES | YES | |
Observations | 158250 | 148431 | 158162 |
\(R^2\) | 0.0466 | 0.0480 | 0.0474 |