We investigated life expectancy and Tempo-adjusted life expectancy in India and for major states using SRS-data. This analysis has been carried out to know the biasness in conventional measures. These indicators, which are used as period indicators helps us in portraying present health situation of a population. What if these indicators are distorted due to changing in the average-age-of-occurrence. In developing countries like India as the average age of occurrence of an event has changed rapidly over the last two-three decades. Understanding the effects of changes on these conventional measure may helps us to better understand current scenario of region. We calculated from methods proposed by Bongarts and Feeney. This analysis uncovered a distinctive evidences that tempo distortion has not much varying in females but there is a lot of variation in males. Interestingly we found that mortality tempo-effects can cause conventional life expectancy biased by more than 2-3 years.
Presented in Session 11. Health & Mortality 2