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In Table 3, we present average marginal effects for each regressor using Stata's margins command.
We calculated average marginal effects for each quintile as the difference in the predictive margins between quintiles to give the difference in the adjusted probability of uptake between each quintile.
Table 6 also reports marginal effects for the LYs saved version of the population-average model, with incremental effectiveness expressed in terms of LYs saved to permit willingness to pay to be calculated for LYs as well as lives.
We report the percentage difference in the marginal effects for union workers, estimated with and without the estimated union effect.
Marginal effects for the interacted variables appear in Table 3.
Marginal effects for whites, Asians, and Hispanics are not different from the full sample.
Table 4 reports the marginal effects for the variables on interest.
We, therefore, compute and report the average marginal effects for the variables in our models.
Marginal effects for household types are positive in the food security column.
Table 6 shows average marginal effects for women, by income source.
Marginal effects for dummy variables are calculated as shown in Greene ([2000], p. 817).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com