Skip to main content

Table 11 Robustness: individual fixed effects

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

 

Employed

Unemployed

Non-active

In STW

Worked last week

Hours worked

CovInd

−0.0179\(^{***}\)

0.00186

0.0160\(^{***}\)

0.109\(^{***}\)

−0.0121\(^{**}\)

−2.925\(^{***}\)

 

(0.00305)

(0.00251)

(0.00279)

(0.00287)

(0.00555)

(0.260)

Female \(\times\) CovInd

−0.00399

−0.00349

0.00748\(^{*}\)

0.0177\(^{***}\)

−0.0262\(^{***}\)

0.259

 

(0.00419)

(0.00344)

(0.00382)

(0.00394)

(0.00762)

(0.356)

Constant

0.636\(^{***}\)

−0.0238

0.388\(^{***}\)

0.0279

0.547\(^{***}\)

10.46

 

(0.0953)

(0.0782)

(0.0869)

(0.0897)

(0.173)

(8.113)

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

Individual FE

YES

YES

YES

YES

YES

YES

Observations

186881

186881

186881

186881

186861

186881

\(R^2\)

0.352

0.0125

0.407

0.0117

0.187

0.133

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