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The correlation coefficients between male life expectancy and some of the other control variables in the model raises the risk of multicollinearity.
In this study, the searches for life expectancy data were particularly successful in terms of offering a relatively high precision.
Statistical scenarios forecast a moderate increase in life expectancy and decrease in mortality.
On the basis of life expectancy alone, for instance, it is unclear that these adults should even be called old.
In contrast, the dispersion of the life expectancy is already fairly high in the near future and steadily increases.
Modeling studies suggest that the net effect of screening on quality-adjusted life expectancy is modest, if not negative, but are subject to methodologic criticisms.
Uncertainty with respect to life expectancy and relative prices may beset both permanent income and accumulation strategies with considerable risk.
For men, pension wealth is nearly 8 % higher with the mortality of the five countries with the longest life expectancy.
The fourth section looks at recent work on the relationship between anthropometric measurements and life expectancy.
In many of these countries there was evidence of high infant mortality rates and low life expectancy.
Early estimates of maximum life expectancy, which yielded values in the 70s, have already been surpassed in low mortality populations.
Women comprise a slightly higher proportion than men, basically due to higher female life expectancy at birth.
Between 1940 and 2001, for men with about 16 years of life expectancy, the participation rate fell from 86 per cent to 38 per cent.
Here we assume only that individuals know their own life expectancies.
Therefore, it is unclear whether older girls will report more negative interpersonal expectancies than will younger girls.
