Table 13 Robustness: replacing COVID stringency index by COVID dummy
From: Gender effects of the COVID-19 pandemic in the Swiss labor market
Non-active dummy | |||
|---|---|---|---|
Female | 0.00773\(^{**}\) | 0.0198\(^{***}\) | 0.0366\(^{***}\) |
(0.00307) | (0.00260) | (0.00246) | |
Cov | 0.000666 | 0.00429\(^{***}\) | 0.00327\(^{**}\) |
(0.00204) | (0.00161) | (0.00162) | |
Female \(\times\) Cov | 0.00989\(^{***}\) | 0.00996\(^{***}\) | 0.00251 |
(0.00285) | (0.00227) | (0.00225) | |
Married | −0.0180\(^{***}\) | ||
(0.00294) | |||
Married \(\times\) female | 0.0548\(^{***}\) | ||
(0.00392) | |||
Married \(\times\) Cov | 0.00588\(^{**}\) | ||
(0.00269) | |||
Married \(\times\) female \(\times\) Cov | −0.00915\(^{**}\) | ||
(0.00378) | |||
Child0-6 | −0.0179\(^{***}\) | ||
(0.00399) | |||
Child7-14 | −0.0196\(^{***}\) | ||
(0.00406) | |||
Child0-6 \(\times\) female | 0.0866\(^{***}\) | ||
(0.00547) | |||
Child7-14 \(\times\) female | 0.0263\(^{***}\) | ||
(0.00556) | |||
Child0-6 \(\times\) Cov | −0.000867 | ||
(0.00382) | |||
Child7-14 \(\times\) Cov | −0.00131 | ||
(0.00391) | |||
Child0-6 \(\times\) female \(\times\) Cov | −0.0193\(^{***}\) | ||
(0.00532) | |||
Child7-14 \(\times\) female \(\times\) Cov | −0.0126\(^{**}\) | ||
(0.00548) | |||
LowTele | 0.00534\(^{*}\) | ||
(0.00304) | |||
LowTele \(\times\) female | 0.0198\(^{***}\) | ||
(0.00407) | |||
LowTele \(\times\) Cov | 0.00252 | ||
(0.00286) | |||
LowTele \(\times\) female \(\times\) Cov | 0.00825\(^{**}\) | ||
(0.00409) | |||
Constant | 0.269\(^{***}\) | 0.259\(^{***}\) | 0.0943\(^{***}\) |
(0.0362) | (0.0376) | (0.00676) | |
Observations | 170619 | 160033 | 170516 |
\(R^2\) | 0.0472 | 0.0494 | 0.0429 |