Table 7:
Mortality
| Dep. Var: | Observed Mortality | Exp. Mortality Pr(Live to 75) | ||||
|---|---|---|---|---|---|---|
| All Ind. | Females | Males | All Ind. | Females | Males | |
| [1] | [2] | [3] | [4] | [5] | [6] | |
| EA Score | −0.003* (0.001) | −0.005*** (0.002) | 0.000 (0.002) | 0.418 (0.286) | 0.659* (0.370) | −0.316 (0.482) |
| Obs. | 26733 | 14780 | 7419 | 29119 | 17433 | 11686 |
| R2 | 0.035 | 0.032 | 0.029 | 0.118 | 0.130 | 0.150 |
Notes: This table investigates the relationship between the EA score, mortality, and mortality expectations. Column [1] presents estimates of a linear probability model for death in the next period for all individuals in our sample, while Columns [2] and [3] perform this separately for females and males, respectively. The specifications in Columns [1]-[3] include the following controls: individual principal components and dummy variables for each possible age, birth year, number of years of schooling, and degree. In Columns [4]-[6], the outcome variable is the reported probability an individual expects to live to age 75, again shown for the full sample and then separately for females and then males. The control set for these specifications is the same as our standard full control set in Column [5] of Table 4. Significance stars ***, **, and * indicate statistical significance at the 0.01, 0.05, and 0.10 levels, respectively. Standard errors are clustered at the family level.