Physical Health Index

Measuring Health in HRS dataset using Bayesian Approach [Paper]

This paper is an effort to measure the health of near retirement people based on the binary responses of individuals to the sets of questions, related to the different aspects of their health. Using Activities of daily living (ADL), Lower Body Mobility (LBM) and Upper Body Agility (UBA) sets of questions, we take the Bayesian approach to estimate the individual distribution of health for the whole population, in Health and Retirement Survey (HRS). The Analysis of 17,217 sets of individual responses shows that LBM and UBA affect the combined health index (Full Index) more strongly and ADL has a weak effect on health index.