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Trauma and Turnout: The Political Consequences of Traumatic Events

Published online by Cambridge University Press:  01 December 2022

WAYDE Z. C. MARSH*
Affiliation:
Washington University in St. Louis, United States
*
Wayde Z. C. Marsh, Postdoctoral Research Fellow, Weidenbaum Center on the Economy, Government, and Public Policy and the Department of Political Science, Washington University in St. Louis, United States, marsh@wustl.edu.
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Abstract

How do traumatic experiences shape individuals’ political behavior? Political scientists have investigated the behavioral changes caused by natural disasters and terrorist attacks, but no work to date has investigated the political consequences of such events using the framework of psychological trauma. In this study, I develop a theory of posttraumatic political response that explains how traumatic events influence voter turnout. To test this theory, I identify the effects of three different types of traumatic events: Black church arson attacks, mass shootings, and natural disasters. I find that a traumatic event decreases turnout in the next presidential election by 0.5–3.7 percentage points, but Black social identity conditions this effect—church arsons and Hurricane Katrina mobilize Black voters. Finally, I find that closer temporal proximity to an election increases the likelihood of a mobilizing effect.

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Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Table 1. Effect of Traumatic Event on Turnout, Generalized Two-Way Fixed Effects (county-year) Estimator

Figure 1

Table 2. Effect of Traumatic Event on Turnout, Lagged Dependent Variable Estimator

Figure 2

Figure 1. Proximity of Traumatic Event Effect on Turnout, Two-Way FE EstimatorNote: The plot presents the percentage-point change in the estimated turnout for counties that experienced a Black chuch arson, mass shooting, or natural disaster by the temporal proximity of the event to the next presidential election, using the county-level data. The point estimates are the coefficient estimates from a two-way fixed effects model, and the error bars represent 95% confidence intervals. Full results are in Tables E.1, E.2, and E.3 in the SI.

Figure 3

Figure 2. Proximity of Traumatic Event Effect on Turnout, Lagged DV EstimatorNote: The plot presents the percentage-point change in the estimated turnout for counties that experienced a Black chuch arson, mass shooting, or natural disaster by the temporal proximity of the event to the next presidential election, using the county-level data. The point estimates are the coefficient estimates from a lagged dependent variable model, and the error bars represent 95% confidence intervals. Full results are in Tables E.4, E.5, and E.6 in the SI.

Figure 4

Figure 3. Black Social Identity Conditions the Effect of Black Church Arson Attacks on VotingNote: The plot represents the marginal effect of Black racial identity on the effect of experiencing a Black church arson within the county of residence for respondents to the Current Population Survey. The point estimates are the coefficient estimates from a two-way fixed effects model, and the error bars represent 95% confidence intervals. Full results are in Table D.4 in the SI.

Figure 5

Figure 4. Black Social Identity Conditions the Effect of Hurricane Katrina on VotingNote: The plot represents the marginal effect of Black racial identity on the effect of experiencing Hurricane Katrina within the county of residence for respondents to the Current Population Survey. The point estimates are the coefficient estimates from a two-way fixed effects model, and the error bars represent 95% confidence intervals. Full results are in Table D.8 in the SI.

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