We present a mortality model where future stochastic changes in population-wide are driven by finite-state hierarchical Markov chain. A baseline an initial ‘Alive’ state is calculated as the average logarithm of observed rates. There several more states and jump to next leads change (typically, improvement) mortality. In order estimate parameters, we minimized weighted quadratic distance betwee...