We use data from two representative U.S. household surveys, the Medical Expenditure Panel Survey (MEPS) and the Health and Retirement Study (Rand-HRS) to estimate Markov transition probability matrices between health states over the lifecycle from age 20–95. We use non-parametric and...

We investigate the association between age and medical spending in the U.S. using data from the Medical Expenditure Panel Survey (MEPS). We estimate a partially linear seminonparametric model and construct "pure" life-cycle profiles of health spending simultaneously controlling for time effects...

In this paper we construct life-cycle profiles of U.S. health care spending using data from the Medical Expenditure Panel Survey (MEPS). We separate pure age effects on health expenditure from time effects (i.e. productivity effects, business cycle effects, etc.) and cohort effects (i.e. initial...