Chad D. Cotti
Department of Economics
University of Wisconsin-Oshkosh
and Center for Demography of Health and Aging
University of Wisconsin-Madison
Institutional Affiliation: University of Wisconsin
Information about this author at RePEc
NBER Working Papers and Publications
|May 2020||The Relationship between In-Person Voting and COVID-19: Evidence from the Wisconsin Primary|
with , , , : w27187
On April 7, 2020, Wisconsin held a major election for state positions and presidential preferences for both major parties. News reports showed pictures of long lines of voters due to fewer polling locations and suggested that the election may further the spread of the SARS-CoV-2 virus. A contact-tracing analysis by the Wisconsin Department of Health Services identified 71 confirmed cases of COVID-19 to in-person voting, but no research has conducted a broader analysis of the extent to which in-person voting increased the number of COVID-19 cases. We use county level data on voting and COVID-19 tests to connect the election to the spread of the SARS-CoV-2 virus. We find a statistically and economically significant association between in-person voting and the spread of COVID-19 two to three...
|January 2020||The Effects of E-Cigarette Taxes on E-Cigarette Prices and Tobacco Product Sales: Evidence from Retail Panel Data|
with , , , , : w26724
We explore the effect of e-cigarette taxes enacted in eight states and two large counties on e-cigarette prices, e-cigarette sales, and sales of other tobacco products. We use the Nielsen Retail Scanner data from 2011 to 2017, comprising approximately 35,000 retailers nationally. We calculate a Herfindahl–Hirschman Index of 0.251 for e-cigarette retail purchases, indicating high market concentration, and a tax-to-price pass-through rate of 1.6. We then calculate an e-cigarette own-price elasticity of -1.5 and a positive cross-price elasticity of demand between e-cigarettes and traditional cigarettes of 0.9, suggesting that e-cigarettes and traditional cigarettes are economic substitutes. We simulate that for every one standard e-cigarette pod (a device that contains liquid nicotine) of 0.7...