From: Does poverty increase COVID-19 in Africa? A cross-country analysis
Log Total COVID-19 cases | ||||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
Log (Population size) | 0.935*** | 0.877*** | 0.863*** | 0.860*** | 0.868*** | 0.898*** |
(0.225) | (0.144) | (0.164) | (0.175) | (0.224) | (0.188) | |
Log (Population density) | -0.201 | 0.139** | 0.150 | 0.160*** | 0.185** | 0.202* |
(0.123) | (0.105) | (0.105) | (0.107) | (0.124) | (0.117) | |
Log (GDP per capita) | 0.579* | 0.393* | 0.549*** | 0.620*** | 0.653** | 0.506 |
(0.290) | (0.230) | (0.181) | (0.175) | (0.259) | (0.313) | |
Log (Official development assistance) | 0.018 | -0.167*** | -0.135 | 0.120 | -0.059** | -0.025* |
(0.241) | (0.157) | (0.173) | (0.184) | (0.242) | (0.218) | |
Log (Health expenditure) | 0.148 | -0.110* | -0.133*** | -0.138** | 0.222 | -0.116* |
(0.248) | (0.173) | (0.190) | (0.204) | (0.237) | (0.245) | |
GINI Index | 0.030* | 0.074*** | 0.064*** | 0.057*** | -0.032 | 0.035* |
(0.017) | (0.020) | (0.021) | (0.021) | (0.149) | (0.017) | |
Corruption control | -0.416*** | -0.260 | -0.227 | -0.244*** | -0.303** | -0.456 |
(0.701) | (0.526) | (0.550) | (0.567) | (0.692) | (0.671) | |
Government effectiveness | -0.287* | -0.551** | -0.450 | -0.402* | -0.084 | -0.184* |
(0.707) | (0.510) | (0.524) | (0.545) | (0.633) | (0.616) | |
Average poverty | 0.002** | |||||
(0.004) | ||||||
Poverty incidence | 0.038*** | |||||
(0.011) | ||||||
Poverty depth | 0.056*** | |||||
(0.019) | ||||||
Poverty severity | 0.074** | |||||
(0.029) | ||||||
Multidimensional poverty index | 0.033* | |||||
(0.089) | ||||||
Extreme poverty | 0.016* | |||||
(0.009) | ||||||
Constant | -11.590*** | -10.870*** | -11.690*** | -11.940*** | -9.737 | -9.526** |
(3.785) | (2.642) | (3.009) | (3.241) | (6.264) | (3.638) | |
R2 | 0.634 | 0.717 | 0.686 | 0.671 | 0.632 | 0.652 |
Chi2 | 11.200 | 21.860 | 16.730 | 15.140 | 13.190 | 11.250 |
Prob (Chi2) | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
N | 52 | 52 | 52 | 52 | 52 | 52 |