|  | Non-Imputed Dataset | Imputed Dataset | |||||||
---|---|---|---|---|---|---|---|---|---|---|
Group | Predictor of Group Membership | Relative Risk | P>|z| | 95% Confidence Interval | Relative Risk | P>|z| | 95% Confidence Interval | |||
1 (base outcome) | ||||||||||
2 | Income | 2.241445 | 0.361 | (0.40, 12.66) | 5.307659 | 0 | (3.82, 7.38) | |||
Region | 0.8764091 | 0.714 | (0.43, 1.77) | 1.088548 | 0.093 | (0.99, 1.20) | ||||
Female education | 0.9141557 | 0 | (0.87, 0.96) | 0.990228 | 0.005 | (0.98, 1.00) | ||||
Political stability | 2.524515 | 0.091 | (0.86, 7.38) | 1.27432 | 0.004 | (1.08, 1.50) | ||||
Government effectiveness | 1.342423 | 0.809 | (0.12, 14.56) | 1.756637 | 0.015 | (1.12, 2.76) | ||||
Corruption | 0.1219006 | 0.09 | (0.011, 1.39) | 0.207852 | 0 | (0.13, 0.32) | ||||
Gender inequality | 1.73E-06 | 0 | (1.77E-08, 0.00017) | 3.338941 | 0 | (1.92, 5.82) | ||||
Out-of-pocket health expenditures | 1.012023 | 0.528 | (0.98, 1.05) | 0.960434 | 0 | (0.95, 0.97) | ||||
Government expenditures on health | 0.9751033 | 0 | (0.96, 0.99) | 0.961332 | 0 | (0.96, 0.97) | ||||
External resources for health per capita | 0.9015603 | 0 | (0.85, 0.95) | 0.974827 | 0 | (0.97, 0.98) | ||||
Land area | 1.000006 | 0 | (1.00, 1.00) | 1.000001 | 0 | (1.00, 1.00) | ||||
Linguistic fractionalization | 1.246866 | 0.855 | (0.12, 13.29) | 2.272543 | 0 | (1.45, 3.56) | ||||
Distance | 1.018492 | 0.386 | (0.98, 1.06) | 1.024245 | 0 | (1.02, 1.03) | ||||
Integration | 0.837396 | 0.853 | (0.13, 5.48) | 0.489647 | 0 | (0.38, 0.63) | ||||
Group | Predictor of Group Membership | Relative Risk | P>|z| | 95% Confidence Interval | Relative Risk | Standard Error | z | P>|z| | 95% Confidence Interval | |
3 | Income | 4.655903 | 0.073 | (0.87, 24.95) | Â | |||||
Region | 0.9844899 | 0.965 | (0.49, 1.99) | |||||||
Female education | 0.9395753 | 0.001 | (0.90, 0.98) | |||||||
Political stability | 1.540575 | 0.373 | (0.60, 3.98) | |||||||
Government effectiveness | 1.124743 | 0.924 | (0.10, 12.62) | |||||||
Corruption | 0.0858633 | 0.038 | (0.0085, 0.87) | |||||||
Gender inequality | 0.000375 | 0 | (5.10E-06, 0.028) | |||||||
Out-of-pocket health expenditures | 0.9496381 | 0.011 | (0.91, 0.99) | |||||||
Government expenditures on health | 0.9457635 | 0 | (0.93, 0.97) | |||||||
External resources for health per capita | 0.8876052 | 0 | (0.84, 0.94) | |||||||
Land area | 1.000005 | 0 | (1.00, 1.00) | |||||||
Linguistic fractionalization | 17.64553 | 0.012 | (1.90, 163.90) | |||||||
Distance | 1.048426 | 0.016 | (1.01, 1.09) | |||||||
Integration | 0.4460937 | 0.388 | (0.07, 2.79) | |||||||
Group | Predictor of Group Membership | Relative Risk | P>|z| | 95% Confidence Interval | Relative Risk | Standard Error | z | P>|z| | 95% Confidence Interval | |
4 | Income | 5.44E+19 | 0.996 | - | Â | |||||
Region | 3451.95 | 0.997 | - | |||||||
Female education | 0.5746389 | 0.998 | (4.10E-185, 8.10E+183) | |||||||
Political stability | 0.4704951 | 1 | - | |||||||
Government effectiveness | 1.117109 | 1 | - | |||||||
Corruption | 0.0000242 | 0.999 | - | |||||||
Gender inequality | 0.1436708 | 1 | - | |||||||
Out-of-pocket health expenditures | 0.9852097 | 1 | (3.30E-228, 3.00E+227) | |||||||
Government expenditures on health | 1.00599 | 0.999 | (6.19E-06, 163532.6) | |||||||
External resources for health per capita | 0.7057309 | 0.999 | - | |||||||
Land area | 1.000039 | 0.993 | (0.99, 1.01) | |||||||
Linguistic fractionalization | 6.05E-18 | 0.995 | - | |||||||
Distance | 0.403834 | 0.993 | (1.06E-90, 1.54E+89) | |||||||
Integration | 1.52547 | 1 | - |