Amlani, Sharif, Spencer Kiesel, & Ross Butters. (2023). Polarization in COVID-19 Vaccine Discussion Networks. American Politics Research, 0(0). https://doi.org/10.1177/1532673X221148670
The emergence of COVID-19 spurred the fastest development of a vaccine in history. Yet, a large proportion of Americans remain hesitant to receive it. Our paper investigates how the social networks we inhabit might explain persistent vaccine hesitancy. We argue that the COVID-19 vaccination status of respondents’ closest associates inhibits or motivates their decision to receive a COVID-19 vaccine. To test our argument, we conduct an original survey asking respondents a battery of questions about the people with whom individuals most frequently discuss vaccines and COVID-19. Our survey reports that individuals’ discussion networks are polarized by vaccination status. Concurrently, there is a strong association between the social network’s vaccination status and the respondent’s vaccination status. This association is so robust that partisanship does not moderate the association between discussants’ vaccination status and respondents’ vaccination status. Together, our results imply that unvaccinated individuals remain hesitant because they face reinforcing social pressure from their closest associates. The unique timing of our survey, during an unprecedented vaccination campaign against a novel disease, offers a snapshot of how relationships may affect attitudes.
Algara, Carlos, Sharif Amlani, Samuel Collitt, Isaac Hale, and Sara Kazemian. "Nail in the Coffin or Lifeline? Evaluating the Electoral Impact of COVID-19 on President Trump in the 2020 Election." Political Behavior (2022): 1-29.
From the onset of the first confirmed case of COVID-19 in January 2020 to Election Day in November, the United States experienced over 9,400,000 cases and 232,000 deaths. This crisis largely defined the campaign between former Vice President Joe Biden and President Donald Trump, centering on the Trump administration′s efforts in mitigating the number of cases and deaths. While conventional wisdom suggested that Trump and his party would lose support due to the severity of COVID-19 across the country, such an effect is hotly debated empirically and theoretically. In this research, we evaluate the extent to which the severity of the COVID-19 pandemic influenced support for President Trump in the 2020 election. Across differing modeling strategies and a variety of data sources, we find evidence that President Trump gained support in counties with higher COVID-19 deaths. We provide an explanation for this finding by showing that voters concerned about the economic impacts of pandemic-related restrictions on activity were more likely to support Trump and that local COVID-19 severity was predictive of these economic concerns. While COVID-19 likely contributed to Trump’s loss in 2020, our analysis demonstrates that he gained support among voters in localities worst affected by the pandemic.
Amlani, Sharif and Samuel Collitt (2021). “The Impact of Vote-By-Mail Policy on Turnout and Vote Share in the 2020 Election.” Election Law Journal.
The COVID-19 pandemic spurred many states and counties to reduce public health risks by adopting policies that made voting by mail easier in the 2020 general election. Employing a two-period difference-in-difference research design, this article investigates how these policy changes affected turnout and presidential vote share. We find that counties that moved to send registered voters mail-in ballots ahead of Election Day experienced 2.6 percent higher turnout compared to counties that made no change, although lesser reforms may have hindered turnout. We also find no evidence that making voting by mail easier conferred a partisan advantage.
Amlani, Sharif, and Carlos Algara. “Partisanship & Nationalization in American Elections: Evidence from Presidential, Senatorial, & Gubernatorial Elections in the U.S. Counties, 1872–2020.” Electoral Studies 73 (October 1, 2021): 102387. https://doi.org/10.1016/j.electstud.2021.102387.
Scholars argue that contemporary American elections are pronounced in their degree of partisanship and nationalization. While much of this work largely uncovers a heightened degree of nationalization in contemporary elections, little is known about how far back these patterns generalize. Given the limited availability of American electoral data, this work also generally focuses on a single office or during a certain segment of the post-war period since 1946. Moreover, this work largely focuses on states as salient units of analysis, masking potential variation found in U.S. counties, the smallest geographical unit constituting panel observations over time and across elections. In this note, we leverage a novel dataset of county-level election returns for President, U.S. Senate, and Governor to specify a model assessing whether American elections are more nationalized and partisan than during any other period since the Civil War. We find evidence that presidential and Senate elections are more partisan today than any period since the Civil War, while gubernatorial elections are as partisan today as they were during the late 1800s. Our findings have implications for contemporary-based theories explaining the rise of partisanship in American elections and demonstrate the utility of county-level data in assessing electoral changes in America.