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Table 5 COVID-19, labor market status, and occupation/sector-specific effects

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

 

Employed

Unemployed

Non-active

Female

−0.0410\(^{***}\)

−0.00251\(^{*}\)

0.0423\(^{***}\)

 

(0.00236)

(0.00143)

(0.00209)

CovInd

0.0626

−0.0112

−0.0627

 

(0.0958)

(0.0716)

(0.0869)

Female \(\times\) CovInd

−0.000766

−0.000875

0.000807

 

(0.00431)

(0.00327)

(0.00391)

Constant

0.712\(^{***}\)

0.0305

0.259\(^{***}\)

 

(0.0436)

(0.0269)

(0.0387)

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

NOGA \(\times\) CovInd

YES

YES

YES

ISCO \(\times\) CovInd

YES

YES

YES

Observations

186881

186881

186881

\(R^2\)

0.417

0.0428

0.459

  1. We show estimates from regression (1) of labor market status after adding the interaction of the COVID-19 stringency index and dummies for occupations and sectors as controls. Regressions estimated with linear probability model, including random effects. Robust standard errors in parentheses
  2. *p<0.1, **p<0.05, ***p<0.01