Death and taxes: longer life, consumption, and social security.
We analyze in three steps the influence of the projected mortality decline on the long run finances of the Social Security System. First, on a theoretical level, mortality decline adds person years of life which are distributed across the life cycle. The interaction of this distribution with the age distribution of labor earnings minus consumption, or of taxes minus benefits, partially determines the corresponding steady state financial consequences of mortality decline. The effect of mortality decline on population growth rates also matters, but is negligible in low mortality populations. Second, examination of past mortality trends in the United States and of international trends in low mortality populations, suggests that mortality will decline faster than foreseen by the Social Security Administration's forecasts. Third, we combine the work of the first two parts in dynamic simulations to examine the implications of mortality decline and of alternative forecasts of mortality for the finances of the social security system. Also, we use stochastic population forecasts to assess the influence of uncertainty about mortality decline on uncertainty about finances; we find that uncertainty about fertility still has more important implications than uncertainty about mortality, contrary to sensitivity tests in the official forecasts.
Lee
R
R
University of California-Berkeley 94720, USA. rlee@demog.berkeley.edu
Tuljapurkar
S
S
D000206:Actuarial Analysis; D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D004651:Employment / Q000639:trends; D005260:Female; D005544:Forecasting; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008017:Life Expectancy / Q000639:trends*; D008297:Male; D008875:Middle Aged; D017059:Models, Econometric; D009026:Mortality / Q000639:trends*; D011158:Population Growth; D012680:Sensitivity and Specificity; D012943:Social Security / Q000639:trends*; D013269:Stochastic Processes; D013660:Taxes / Q000639:trends*; D014481:United States / Q000453:epidemiology