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Table 10 Robustness in subsamples, by firm size

From: Firms’ participation in the Swiss COVID-19 loan programme

 

(1) Part.(y/n)

(2) Part.(y/n)

(3) Part.(y/n)

(4) Part.(y/n)

(5) Part.(y/n)

Lockdown index (sectors within cantons)

1.75***

1.67***

2.03***

2.86***

1.51*

Virus cases (in canton)

0.73***

0.69***

1.08***

0.75***

0.95***

Liquidity ratio, mean (sectors within cantons)

− 0.11***

− 0.11***

− 0.10***

− 0.07*

− 0.22*

Debt ratio, mean (sectors within cantons)

− 0.21

− 0.24

0.03

0.11

0.15

Constant

Yes

Yes

Yes

Yes

Yes

Headcount dummies

Yes

Yes

Yes

Yes

Yes

Age dummies

Yes

Yes

Yes

Yes

Yes

Observations

471211

432440

30809

6828

1128

Log-likelihood

− 212285.10

− 188085.77

− 19509.86

− 3951.71

− 502.12

Sample

All firms

FTE [0,10)

FTE [10,50)

FTE [50,250)

FTE 250+

  1. Logit model. The dependent variable is a firm-level binary variable that indicates firm participation in the loan programme. Standard errors are clustered at the sector-canton level of the FSO financial variables. ***, ** and * denote statistical significance (two-tailed) at the 1%, 5% and 10% significance levels, respectively