Search

This study investigates the relations between COVID-19-related stay-at-home-tendencies and various health insurance coverages of people across US states. To this aim, the K-means clustering and panel regression analysis with cross-sectional dependence are applied. The main empirical finding reveals that various health insurance coverages have different level impacts on COVID-19-related stay-at-home-tendencies. People who are uninsured tend to stay at home the most as compared with people with private, Medicaid, Medicare and military health insurance coverages. As a result, it may be interpreted that uninsured people have serious concerns about affording healthcare costs associated with COVID-19 and, thereby, stay at home. However, people with private health insurance coverages tend to stay at home the least. This may also lead to the interpretation that people with private health insurance coverages feel safer and better protected against the rising risks of this pandemic outside their homes.

Isik, Cem/0000-0001-5125-7648, WOS: 000498125600001, The global economic outlook is more uncertain than ever before and sensitive to uncertainties related to a variety of economic policies decisions of all stakeholders and governments. These perceived uncertainties may be the culprit in shrinking the size of overall economic activity. Under increasing uncertainties, travel and vacation plans of consumers can be canceled or postponed. Therefore, policy-related economic uncertainties are expected to affect tourism demand beyond well-established economic and noneconomic factors. in this study, we explore the efficacy and the impact of the economic policy uncertainty (EPU) index in predicting the tourism demand on international tourist arrivals (a measure of tourism demand) to the United States from Mexico and Canada over the period of January 1996-September 2017. the findings of the study reveal that EPU is a significant predictor as increases in the EPU index lead to decreases in tourism demand to the United States. Canadian tourists seem to be more sensitive to EPUs. Increases in the EPU index cause them to reduce Canadians' vacations to the United States proportionally more than the Mexicans. To enhance the explanatory power of current models, the uncertainty can be a theoretically significant construct thus needs to be included when calibrating demand models.