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Table 12 Robustness: replacing COVID stringency index by COVID dummy

From: Gender effects of the COVID-19 pandemic in the Swiss labor market

 

Employed

Unemployed

Non-active

In STW

Worked last week

Hours worked

Female

−0.0399\(^{***}\)

−0.00247\(^{*}\)

0.0412\(^{***}\)

0.00218

−0.0292\(^{***}\)

−8.991\(^{***}\)

 

(0.00230)

(0.00137)

(0.00203)

(0.00135)

(0.00238)

(0.126)

Cov

−0.00763\(^{***}\)

0.00348\(^{***}\)

0.00470\(^{***}\)

0.0517\(^{***}\)

−0.0128\(^{***}\)

−1.466\(^{***}\)

 

(0.00151)

(0.00114)

(0.00137)

(0.00133)

(0.00230)

(0.101)

Female \(\times\) Cov

−0.00328

−0.000605

0.00336\(^{*}\)

0.0137\(^{***}\)

−0.0176\(^{***}\)

0.270\(^{*}\)

 

(0.00210)

(0.00158)

(0.00190)

(0.00191)

(0.00329)

(0.146)

Constant

0.726\(^{***}\)

0.0291

0.244\(^{***}\)

0.0188

0.788\(^{***}\)

50.15\(^{***}\)

 

(0.0396)

(0.0233)

(0.0350)

(0.0220)

(0.0390)

(2.117)

Age FE

YES

YES

YES

YES

YES

YES

Canton FE

YES

YES

YES

YES

YES

YES

Education FE

YES

YES

YES

YES

YES

YES

NOGA FE

YES

YES

YES

YES

YES

YES

ISCO FE

YES

YES

YES

YES

YES

YES

Observations

186881

186881

186881

158250

158242

133583

\(R^2\)

0.417

0.0423

0.459

0.0392

0.0201

0.223

  1. Estimates from regression (1) of labor market status, being in STW, worked last week and hours on a constant, female dummy, COVID-19 dummy, and its interaction with the female dummy. Regressions estimated with linear probability model, including random effects. Robust standard errors in parentheses
  2. *p<0.1, **p<0.05, ***p<0.01