Table 5.
Fixed Effects Regression Estimates for Premature Mortality (PYLL)
| Variables | Model 1 | P | Model 2 | P | Model 3 | P |
|---|---|---|---|---|---|---|
| All-Cause Potential Years of Life Lost (Both Genders) per 100,000 Population (n=467) | ||||||
| Primary care score | −701.027 | 0.000 | −179.462 | 0.000 | −101.473 | 0.007 |
| Doctors/1,000 pop | −1,131.273 | 0.000 | −880.732 | 0.000 | ||
| GDP/capita | −0.045 | 0.000 | −0.010 | 0.221 | ||
| Elderly | 353.080 | 0.002 | 384.179 | 0.001 | ||
| Doctor visits/capita | −22.348 | 0.425 | ||||
| Alcohol (l/capita) | 33.894 | 0.210 | ||||
| Tobacco (g/capita) | 0.181 | 0.023 | ||||
| (Tobacco-missing) | 157.961 | 0.081 | ||||
| Log income (ppp) | −1,248.410 | 0.000 | ||||
| _Cons | 12,177.950 | 0.000 | 10,311.230 | 0.000 | 15,573.000 | 0.000 |
| F (df) | 180 (1,448) | 0.000 | 317(4,445) | 0.000 | 162 (9,440) | 0.000 |
| R-2 (within) | 0.286 | 0.740 | 0.768 | |||
| F-test (vs. model 1) | — | 256 (3,445) | 0.000 | 111 (8,440) | 0.000 | |
| F-test (vs. model 2) | — | — | — | 10 (5,440) | 0.001 | |
| All-Cause Potential Years of Life Lost (Women Only) per 100,000 (n=467) | ||||||
| Primary care score | −539.976 | 0.000 | −123.274 | 0.000 | −69.200 | 0.041 |
| Doctors/1,000 pop. | −1006.525 | 0.000 | −797.298 | 0.000 | ||
| GDP/capita | −0.027 | 0.000 | −0.004 | 0.569 | ||
| Elderly | 314.508 | 0.001 | 365.393 | 0.000 | ||
| Doctor visits/capita | −16.228 | 0.519 | ||||
| Alcohol (l/capita) | 43.964 | 0.070 | ||||
| Tobacco (g/capita) | 0.036 | 0.612 | ||||
| (Tobacco-missing) | 72.262 | 0.374 | ||||
| Log income (ppp) | −932.090 | 0.000 | ||||
| _Cons | 9,008.761 | 0.000 | 7,620.663 | 0.000 | 11,619.500 | 0.000 |
| F (df) | 155 (1,448) | 0.000 | 254(4,445) | 0.000 | 124 (9,440) | 0.000 |
| R-2 (within) | 0.258 | 0.695 | 0.717 | |||
| F-test (vs. model 1) | — | 211 (3,445) | 0.000 | 87 (8,440) | 0.000 | |
| F-test (vs. model 2) | — | — | — | 6 (5,440) | 0.001 | |
| All-Cause Potential Years of Life Lost (Men Only) per 100,000 (n=467) | ||||||
| Primary care score | −879.720 | 0.000 | −240.022 | 0.000 | −140.402 | 0.001 |
| Doctors/1,000 pop. | −1280.665 | 0.000 | −986.521 | 0.000 | ||
| GDP/capita | −0.064 | 0.000 | −0.016 | 0.080 | ||
| Elderly | 419.926 | 0.001 | 441.604 | 0.001 | ||
| Doctor visits/capita | −15.506 | 0.630 | ||||
| Alcohol (l/capita) | 17.899 | 0.564 | ||||
| Tobacco (g/capita) | 0.334 | 0.000 | ||||
| (Tobacco-missing) | 256.455 | 0.014 | ||||
| Log income (ppp) | −1,624.971 | 0.000 | ||||
| _Cons | 15,548.950 | 0.000 | 13,153.060 | 0.000 | 20,014.180 | 0.000 |
| F (df) | 193 (1,448) | 0.000 | 354 (4,445) | 0.000 | 190 (9,440) | 0.000 |
| R-2 (within) | 0.301 | 0.761 | 0.795 | |||
| F-test (vs. model 1) | — | 282 (3,445) | 0.000 | 130 (8,440) | 0.001 | |
| F-test (vs. model 2) | — | — | — | 14 (5,440) | >0.05 | |