Samuel Collitt’s research while affiliated with University of California System and other places

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Publications (4)


Correction: Nail in the Coffin or Lifeline? Evaluating the Electoral Impact of COVID-19 on President Trump in the 2020 Election
  • Article
  • Publisher preview available

December 2022

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9 Reads

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2 Citations

Political Behavior

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Sharif Amlani

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Samuel Collitt

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[...]

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Sara Kazemian

[This corrects the article DOI: 10.1007/s11109-022-09826-x.].

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Δ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta $$\end{document} Change in county-level support for president trump during the 2020 election
COVID-19 severity across U.S. counties
County COVID-19 severity & change in GOP presidential electoral support. Estimates articulating the relationship between county COVID-19 severity and change in electoral support for President Trump in Fig. 3 are derived from full models specified with demographic and partisan control covariates. Coefficients significant at the 95% confidence level labelled
Relationship between public health concern & political support for president Trump. The discrete marginal effects articulated in Fig. 4 specified with 90% and 95% confidence intervals from district-clustered robust standard errors. Darker shaded point estimates significant at ρ<0.10\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\rho < 0.10$$\end{document}. Models control for local COVID-19 context, education, race, gender, ideology, economic evaluations, COVID-19 infection proximity, and age. Δ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta $$\end{document} change in electoral choice models also control for change in partisanship and 2016 Republican presidential vote. Fig. 4 articulates N = 8 unified baseline additive models (one for each panel wave-outcome variable interest articulated in the panel) 8 unified interactive models (one for each panel wave-outcome variable interest articulated in the panel) for a total of N = 16 models. Heterogeneous effects of attitudes across partisanship estimated from multiplicative model interacting context and partisanship. All models fitted with wave-specific survey weights
Relationship Between Local Severity Context & COVID-19 Attitudes. The minimum-maximum first difference marginal effects articulated in Fig. 5 specified with 90% and 95% confidence intervals from district-clustered robust standard errors. Darker shaded point estimates significant at ρ<0.10\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\rho < 0.10$$\end{document}. Models control for education, race, gender, ideology, economic evaluations, COVID-19 infection proximity, and age. Figure articulates N = 4 unified baseline additive models (two per panel wave x two outcome variables of interest) 4 unified interactive models (two per panel wave x two outcome variables of interest) for a total of N = 8 models. Heterogeneous effects of local context on attitudes estimated from multiplicative model interacting context and partisanship. All models fitted with wave-specific survey weights

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Nail in the Coffin or Lifeline? Evaluating the Electoral Impact of COVID-19 on President Trump in the 2020 Election

October 2022

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70 Reads

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11 Citations

Political Behavior

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. Supplementary information: The online version contains supplementary material available at 10.1007/s11109-022-09826-x.



The Policy Polarization of Party Activists in the United States

April 2021

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25 Reads

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7 Citations

American Politics Research

This article investigates how a key stratum of the partisan elite—party activists—have been positioned across time and policy issues. We examine the extent to which activists have polarized symmetrically or asymmetrically and find that only on the issue of abortion has one party’s activists (Republicans) polarized notably more than the other’s. The article also analyzes party activist proximity to the mass public’s policy preferences and finds that Democrats are consistently closer to the public on economic issues, and Republicans are consistently closer on a subset of non-economic issues. Our findings suggest the need for more nuanced theories of party activism and polarization along with providing a useful lens through which to view party electoral competition.

Citations (4)


... In addition to the pandemic, other elements such as the economic impact of COVID-19, social unrest, and Trump's overall governance style also contributed to the election's outcome. Algara et al. (2022) and Mendoza Aviña and Sevi (2021) highlight that these factors, combined with the public health crisis, created a unique electoral environment where traditional incumbent advantages were overshadowed. ...

Reference:

Pandemic-Driven Leadership Perceptions: Attribution Theory in the 2020 U.S. Presidential Election
Correction: Nail in the Coffin or Lifeline? Evaluating the Electoral Impact of COVID-19 on President Trump in the 2020 Election

Political Behavior

... No conclusion is made concerning whether this effect cost Trump the election. Algara et al. (2022) find, perhaps counterintuitively, that Trump gained support in counties with higher rates of COVID deaths. The authors believe this result shows that in these counties, the voters were concerned their locale would suffer from a greater economic loss from COVID and that this concern translated into support for Trump as the candidate who was more likely to keep markets open and the economy growing. ...

Nail in the Coffin or Lifeline? Evaluating the Electoral Impact of COVID-19 on President Trump in the 2020 Election

Political Behavior

... We demonstrate the use of our metrics in an empirical example that estimates the effect of a vote-by-mail policy in various outcomes (Amlani and Collitt, 2022). This work includes an analysis for the effect of a US county's vote-by-mail (VBM) policy on the Republican presidential vote share (dependent variable Y ) in the 2020 election. ...

The Impact of Vote-By-Mail Policy on Turnout and Vote Share in the 2020 Election
  • Citing Article
  • February 2022

Election Law Journal Rules Politics and Policy

... In recent years, research on polarisation has focused heavily on affective polarisation (e.g. Garzia et al. 2023), but other topics have also attracted attention, such as activist polarisation (Collitt and Highton 2021) and mass polarisation (Levendusky 2009). In this paper, I am more concerned with ideological polarisation in the legislature. ...

The Policy Polarization of Party Activists in the United States
  • Citing Article
  • April 2021

American Politics Research