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Table 6 Negative binomial regressions: infections, incidence rate ratios

From: The world trade network: country centrality and the COVID-19 pandemic

DEP. VAR.: INF

(1)

(2)

(3)

(4)

(5)

Degree

3.608***

    
 

(0.631)

    

Betweenness

 

4.121***

   
  

(1.868)

   

Local Clustering

  

4.201***

  
   

(0.968)

  

Weighted Eigenvector

   

3.225***

 
    

(0.875)

 

Strength (:109)

    

3.339***

     

(1.052)

GDPPC

1.676

1.147

1.191**

1.238*

1.264**

 

(0.632)

(0.266)

(0.103)

(0.144)

(0.133)

POP

3.026

1.813

1.023

1.132

1.136

 

(3.227)

(2.130)

(0.134)

(0.224)

(0.184)

POP65+

2.226***

1.685

1.688***

2.680***

2.420***

 

(0.685)

(0.539)

(0.294)

(0.636)

(0.564)

HBEDS

0.678

0.710

0.585***

0.557**

0.555***

 

(0.212)

(0.230)

(0.087)

(0.132)

(0.107)

TEMP

1.120

0.728

1.080

1.387

1.316

 

(0.226)

(0.335)

(0.142)

(0.350)

(0.231)

Week dummies

Yes

Yes

Yes

Yes

Yes

Overdispersion \((\alpha )\)

1.319***

1.393***

0.998***

1.263***

1.193***

 

(0.209)

(0.170)

(0.178)

(0.213)

(0.204)

N

275

275

275

275

275

Log Pseudo-likelihood

− 2490.6

− 2500.5

− 2440.5

− 2482.5

− 2472.2

AIC

5005.1

5025.1

4905.1

4989.0

4968.4

BIC

5048.5

5068.5

4948.4

5032.4

5011.82

Pseudo \(R^2\)

0.076

0.072

0.094

0.079

0.083

Max VIF

3.01

3.20

2.72

2.57

2.60

Mean VIF

1.79

1.89

1.73

1.69

1.68

Pearson GOF test

1.34e+07

1.29e+07

2061931

2680124

2229799

p-value

0.000

0.000

0.000

0.000

0.000

  1. Country-level clustered standard errors in parentheses.
  2. All the estimates also include a constant term. *\(p < 0.1\); **\(p < 0.05\); ***\(p < 0.01\)