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Examining The Impact Of Socioeconomic Variables On Covid-19 Death Rates At The State Level, James L. Doti

Economics Faculty Articles and Research

This study uses a step-wise regression model to identify the socioeconomic variables most significant in explaining COVID-19 death rates on a state-level basis. The regression tests cover the 1/1/2020 to 12/1/2020 period as well as the first and second halves of 2020. This study also uses the Oxford stringency index to measure more precisely the efficacy of governmental mandates at the state level. The results in this study rigorously showed that while the density variables were the most significant explanatory variables during the first half of the year, their significance fell during the second half. Use of the Oxford stringency …

Benefit-Cost Analysis Of Covid-19 Policy Intervention At The State And National Level, James L. Doti

Economics Faculty Articles and Research

This study analyzes the benefits of statewide policy intervention in reducing COVID-19 deaths and the costs of that intervention in lost jobs and lower real gross state product (RGSP). Policy interventions are measured by the Oxford stringency index which places a daily numerical value on the level of a state’s policy intervention.

Empirical evidence is provided that shows policy interventions have reduced COVID-19 deaths by 375,000 lives in 2020. On the cost side, it was found that policy intervention resulted in a loss of 7.3 million jobs and a decline of $410 billion in RGSP.

The study concludes by integrating …