TABLE 2—
Marginal Effects of Independent Variables on Vaccination Coverage: 1997–2003
| Marginal Effect (Logit Coefficient) | |
| Funding per capita per $10 increase t − 1 | 0.016* (0.08406) |
| Povertyt − 1 | −0.001 (−0.00309) |
| Income 5 times the federal poverty line or highert − 1 | −0.002 (−0.01009) |
| Unemploymentt − 1 | 0.0006* (0.03362) |
| No health insurancet − 1 | 0.004 (0.02341) |
| Lagged untransformed dependent variable = vaccination coveraget − 1 | −0.004* (−0.02108) |
| Model Diagnostics | |
| R2 | 0.852 |
| Degrees of freedom | 215 |
Note. Marginal effects are the expected change in the proportion of children who received full vaccination coverage associated with a 1-unit change in the independent variable. Dependent variable = ln(Vaccination Coveraget − 1/1 − Vaccination Coveraget − 1); t − 1 = year 1.
*Significant at P < .01.