Table 5 Masks effects on Covid-19 outcomes by controlling other policies.

From: Face mask is an efficient tool to fight the Covid-19 pandemic and some factors increase the probability of its adoption

Variables

(1)

(2)

(3)

(4)

(5)

Cases rate

Cases rate

Cases rate

Fatality rate

Fatality rate

Cases rate (t-1)

0.147***

0.126***

0.078*

  

(0.039)

(0.039)

(0.042)

  

Cases rate (t-14)

0.103***

0.124***

0.130***

0.0008

 

(0.027)

(0.031)

(0.035)

(0.0007)

 

Cases rate (t-28)

    

0.0018

    

(0.0012)

Fatality rate (t-1)

   

−0.0172

−0.0589***

   

(0.0269)

(0.0202)

Fatality rate (t-14)

   

0.00610

 
   

(0.0186)

 

Fatality rate (t-28)

    

0.00657

    

(0.0196)

Masks(t-14)

 

−0.0066***

 

−0.0002**

 
 

(0.0021)

 

(0.0001)

 

Temperatures (t-14)

 

7.840

   
 

(2.760)

   

Stringency index (t-14)

 

2.560

 

−6.90e-10

 
 

(2.320)

 

(7.70e-10)

 

New tests number (t-14)

 

2.180

 

1.21e-07***

 
 

(9.920)

 

(3.89e-08)

 

Masks(t-28)

    

−0.0001*

    

(0.0001)

Temperatures (t-28)

  

2.160

  
  

(5.280)

 

(6.08e-10)

Stringency index (t-28)

  

3.340

 

8.26e-10

  

(2.830)

 

(1.08e-09)

New tests number (t-28)

  

80.660

 

−1.66e-08

  

(176.000)

 

(6.51e-08)

Time

1.180

7.640***

3.670

−2.02e-09**

9.63e-10

(2.470)

(2.770)

(3.070)

(1.02e-09)

(1.03e-09)

Constant

−0.001

−0.001***

−0.001

4.55e-05**

−2.08e-05

(0.001)

(0.001)

(0.001)

(2.25e-05)

(2.26e-05)

Observations

4,519

4,091

3,202

4,343

3,454

Number of countries

67

67

67

67

67

  1. Standard errors are in (.) with ***p<0.01, **p<0.05, *p<0.1. The coefficients for Masks’ have been multiplied by 100,000 for standardization purposes.