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Table 10 Robustness: COVID-19 and labor market status

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

 

Employed

Unemployed

Non-active

Female

−0.0402\(^{***}\)

0.00104

0.0375\(^{***}\)

 

(0.00254)

(0.00142)

(0.00218)

CovInd

−0.0148\(^{***}\)

0.00650\(^{***}\)

0.00928\(^{**}\)

 

(0.00288)

(0.00204)

(0.00244)

Female \(\times\) CovInd

−0.00502

−0.00310

0.00805\(^{**}\)

 

(0.00406)

(0.00287)

(0.00343)

Constant

0.713\(^{***}\)

0.0324

0.253\(^{***}\)

 

(0.0421)

(0.0230)

(0.0362)

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

170619

170619

170619

\(R^2\)

0.0422

0.0108

0.0445

  1. Estimates from regression (1) of labor market status on a constant, female dummy, COVID-19 stringency index, and its interaction with the female dummy. The sample is restricted to respondents for which we have complete information on occupation type (ISCO) and economic sector (NOGA). Regressions estimated with linear probability model, including random effects. Robust standard errors in parentheses
  2. *p<0.1, **p<0.05, ***p<0.01