Moving from Incomplete Information to Asymmetric Information: Cross Country Analysis of COVID-19 Pandemic

ABSTRACT

COVID-19 pandemic is a massive global health crisis. The individual as well as the policy makers have to face various trade-offs to maximize their self-interests. Therefore, the policies should be devised in such a way to maximize social welfare and optimal delivery of public goods such as healthcare, means of livelihood, etc. The researchers have provided a conceptual framework on the given issue by discussing the whereabouts stages of incomplete inform ation and asymmetric inform ation during C OVI D-19 which can lead to market failure. Through multiple regression analysis, the models are prepared by researchers to study various parameters such as total cases, life expectancy, hand-washing facilities, testing, age older (70-year, 65-year & median age), hospital beds, GDP per capita, etc. to evaluate the total number of deaths of COVID-19 patients in the sample countries.