The provision of health insurance is a significant concern for governments in both developed and developing countries, given its pivotal role in ensuring access to healthcare for their citizens. The objective of this research is to investigate the impact of economic and health policies uncertainty on the rate of change in health insurance coverage in developing countries. The research sample comprises 30 selected developing countries from 2000 to 2023. The research model was tested using the dynamic panel estimation method through the Generalized Method of Moments and Arellano-Bond estimators, which were conducted using the Eviews software. The results show that in the presence of economic uncertainty and public health policies uncertainty, the speed of change in health insurance coverage in developing countries has decreased. Additionally, the vector coefficients of specific country characteristics are significant in the model, with positive effects observed for variables related to human development and income, and negative effects observed for variables related to population dependency and inflation. An understanding of the interaction between uncertainty and health insurance coverage can provide valuable insights into the ways in which political and economic challenges can be addressed and health insurance systems in developing countries optimised.
