Limited access to information is one of the main health insurance market imperfections in developing countries. Differential access to information may determine individuals' awareness of health insurance schemes, thereby influencing their probability of enrollment. Relying on primary data collected in 2019-2020 in rural Senegal, we estimate the uptake of community-based health insurance using a Heckman-type model to correct for awareness-based sample selection bias. Besides showing that health insurance awareness is a precondition for effective enrollment in community-based health insurance schemes, we also bring new evidence on the roles which geographic factors and individual risk preference play in health insurance uptake by rural dwellers. We show that geographic distance prevents individuals from accessing information on health insurance schemes, and discourage those who are informed from enrolling, because of the additional distance they must travel to benefit from covered healthcare services. Results also show that individual risk preference influences health insurance uptake, but only when information barriers are taken into account. Overall, our results could help decision-makers better shape the universal health coverage madmap, as policies to improve health insurance awareness differ substantially from policies to improve the features of health insurance schemes.
Plan de classement
Santé : aspects socioculturels, économiques et politiques [056]
