Table 3.
Public health capacity, political stability, and Covid-19 morbidity.
|
VARIABLES |
(1) |
(2) |
(3) |
(4) |
|---|---|---|---|---|
| CR1 |
CR1 |
CR2 |
CR2 |
|
| ( ≥ 2.76) | (<2.76) | ( ≥ 2.76) | (<2.76) | |
| PS | −92.583*** | −36.822 | −147.539*** | −55.212 |
| (-4.10) | (-0.90) | (-5.00) | (-0.95) | |
| Hospital beds | −23.733 | −157.847 | −32.171 | −260.407* |
| (-1.40) | (-1.52) | (-1.46) | (-1.77) | |
| Stringency | 59.293 | −10.839 | 83.528 | −20.175 |
| (1.39) | (-0.19) | (1.50) | (-0.25) | |
| Test-case rate | −3.521*** | −1.204 | −2.892* | −1.831 |
| (-2.95) | (-0.89) | (-1.85) | (-0.95) | |
| Urbanization | −9.448 | 57.443 | 7.330 | 81.835 |
| (-0.34) | (1.53) | (0.20) | (1.54) | |
| Trade | 18.715*** | −8.045 | 28.388*** | −11.238 |
| (2.89) | (-0.74) | (3.36) | (-0.73) | |
| Population growth | −8.160 | −3.914 | −12.345* | −0.092 |
| (-1.59) | (-0.64) | (-1.84) | (-0.01) | |
| GDP per capita | −270.782 | −157.005 | −272.101 | −162.069 |
| (-1.32) | (-0.91) | (-1.02) | (-0.66) | |
| GDP growth | −180.094 | −160.614 | −158.185 | −248.047 |
| (-0.66) | (-0.56) | (-0.44) | (-0.61) | |
| Human development | 261.928*** | 87.721 | 255.906** | 157.604 |
| (3.26) | (1.14) | (2.44) | (1.44) | |
| Constant | −10,819.398 | 1212.203 | −7434.726 | −1049.040 |
| (-1.43) | (0.21) | (-0.75) | (-0.13) | |
| Observations | 42 | 41 | 42 | 41 |
| R-squared | 0.657 | 0.393 | 0.648 | 0.421 |
| F test | 5.72e-05 | 0.0781 | 8.21e-05 | 0.0483 |
| r2_a | 0.547 | 0.191 | 0.534 | 0.228 |
| F | 5.944 | 1.943 | 5.706 | 2.182 |
Notes: This table reports the heterogeneity results from subgroup regressions to assess the impact of political stability on Covid-19 case rate by Feb 29, 2021 (CR1) and May 31, 2021 (CR2). The grouping variable is the number of hospital beds per 10,000 population. The specifications are estimated by OLS regression. Variable definitions are presented in Appendix 2. T-statistics are in parentheses. ***, **, * denote the significance level ate 1%, 5%, and 10%, respectively.