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) | 0.643*** | 0.585*** | 0.585*** | 0.586*** | 0.591*** | 0.576*** |
(0.115) | (0.090) | (0.097) | (0.098) | (0.092) | (0.105) | |
Log (Population density) | 0.054 | 0.065* | 0.055** | 0.054 | 0.044 | 0.061* |
(0.099) | (0.099) | (0.096) | (0.096) | (0.100) | (0.099) | |
Log (GDP per capita) | 0.460 | 0.507* | 0.541** | 0.537** | 0.532** | 0.583** |
(0.311) | (0.261) | (0.254) | (0.260) | (0.253) | (0.276) | |
Log (Official development assistance) | 0.114 | -0.165* | 0.149 | 0.146 | -0.160* | 0.169 |
(0.109) | (0.093) | (0.102) | (0.104) | (0.089) | (0.103) | |
Log (Health expenditure) | -0.435** | -0.522*** | -0.546*** | -0.553*** | -0.580*** | -0.583*** |
(0.167) | (0.171) | (0.192) | (0.199) | (0.188) | (0.176) | |
GINI Index | 0.038*** | 0.037** | 0.029** | 0.028* | 0.114 | 0.029** |
(0.014) | (0.015) | (0.014) | (0.014) | (0.080) | (0.012) | |
Corruption control | -0.296* | -0.395 | -0.382*** | -0.379*** | -0.369 | -0.439* |
(0.327) | (0.321) | (0.326) | (0.327) | (0.328) | (0.342) | |
Government effectiveness | -0.598* | -0.741** | -0.815** | -0.831** | -0.769** | -0.815** |
(0.306) | (0.338) | (0.364) | (0.373) | (0.336) | (0.323) | |
Average poverty | 0.002** | |||||
(0.001) | ||||||
Poverty incidence | 0.003* | |||||
(0.007) | ||||||
Poverty depth | 0.005* | |||||
(0.013) | ||||||
Poverty severity | 0.012** | |||||
(0.021) | ||||||
Multidimensional poverty index | 0.048*** | |||||
(0.046) | ||||||
Extreme poverty | 0.006* | |||||
(0.007) | ||||||
Constant | -7.063*** | -6.691** | -6.685** | -6.614** | -8.886** | -7.329** |
(2.549) | (2.626) | (2.707) | (2.736) | (3.940) | (3.005) | |
R2 | 0.771 | 0.768 | 0.768 | 0.768 | 0.771 | 0.771 |
Chi2 | 33.980 | 35.260 | 33.420 | 33.210 | 34.290 | 35.59 |
Prob (Chi2) | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
N | 52 | 52 | 52 | 52 | 52 | 52 |