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Table 13 Effect of vaccines—role of containment and new cases using CO and Mobility

From: The effects of COVID-19 vaccines on economic activity

Variables

(1)

(2)

(3)

(4)

CO

CO

Retail

Retail

Surprises in vaccines administered (per capita)

0.000330

0.001720

0.717312***

0.995808***

 

(0.001)

(0.002)

(0.147)

(0.367)

Interaction with stringency measures quartiles (1st quartile omitted)

2nd quartile of containment measures * surprises in vaccines

0.000709

 

− 0.191644

 
 

(0.000)

 

(0.131)

 

3rd quartile of containment measures * surprises in vaccines

0.000208

 

− 0.431621**

 
 

(0.001)

 

(0.179)

 

4th quartile of containment measures * surprises in vaccines

− 0.001011

 

− 0.384407*

 
 

(0.001)

 

(0.227)

 

Interaction with new cases quartiles (1st quartile omitted)

2nd quartile of new cases * surprises in vaccines

 

− 0.001192

 

− 0.402936

  

(0.002)

 

(0.354)

3rd quartile of new cases * surprises in vaccines

 

− 0.001486

 

− 0.513714

  

(0.002)

 

(0.382)

4th quartile of new cases * surprises in vaccines

 

− 0.001395

 

− 0.440691

  

(0.002)

 

(0.350)

Observations

5861

5861

5839

5839

R-squared

0.278

0.278

0.449

0.452

Country FE

Yes

Yes

Yes

Yes

Time FE

Yes

Yes

Yes

Yes

Country-time trend

Yes

Yes

Yes

Yes

No. of countries

44

44

44

44

  1. Table reports results for Eq. 3. The dependent variable is change in CO per capita in columns 1 and 2 and change in retail and recreational mobility in columns 3 and 4. The forecast error in vaccine rollout is interacted with the stringency of containment measures (categorized into four quartiles) in column 1 and 3. The forecast error in vaccine rollout is interacted with the level of new cases (moving average over seven days and also categorized into four quartiles) in column 2 and 4. The variables are lagged one day. All regressions control for stringency of containment measures and other non-pharmaceutical interventions, lagged mobility and NO2 per capita, country specific time trends, as well as country and time fixed effects. Standard errors are clustered at the country level. ***p < 0.01, **p < 0.05, *p < 0.1