Homogeneity versus Parsimony in Markov Manpower Models: A Hidden Markov Chain Approach

We aim at tackling the problem of inadequate specification a Markov manpower model in this paper, by formulating procedure for validating inclusion or non-inclusion some transition parameters model. The mover-stayer principle and its extensions are employed to incorporate hidden classes achieve more homogeneity is compared with without classes, which parsimonious, using Likelihood ratio statistic, Akaike Information Criterion Bayesian Criterion. illustration shows case data where, up certain level states, important than parsimony.