COVID-19 County-Level Data with Political Classification (U.S., 2020)
Creators:
The New York Times (COVID data); Harvard Dataverse; National Governors Association
Publication Date:
2023/07
Data Category:
Dataset Description:
This dataset underpins the analysis conducted by Eutsler, Harris, Williams, and Cornejo (2023) in Accounting, Organizations and Society, which investigates partisan influences on the reporting of COVID-19 cases and deaths in the United States. The authors apply Benford’s Law to examine irregularities in county-level COVID-19 statistics from January 21 to November 3, 2020. Their study integrates COVID-19 case data from The New York Times, political affiliation data from the 2020 gubernatorial roster (National Governors Association), and county-level political leanings from the 2016 U.S. presidential election. The result is a composite dataset linking epidemiological reporting behavior with political partisanship indicators to assess statistical conformity and potential misreporting.
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