The increased availability of panel data has made it possible to estimate and measure health mobility for population subgroups who may have systematically different levels of mobility. The objective of this paper is to stimulate discussion on what estimated differences across subgroups may mean for resource allocation. We use a straightforward hypothetical example to investigate the implications of different levels of health mobility on health outcomes, considering in addition the effects of adaptation to illness over time. We also discuss some of the ethical and political implications of health mobility
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