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Disasters and Elections: Estimating the Net Effect of Damage and Relief in Historical Perspective

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  • Heersink, Boris
  • Peterson, Brenton D.
  • Jenkins, Jeffery A.

Abstract

Do natural disasters help or hurt politicians’ electoral fortunes? Research on this question has produced conflicting results. Achen and Bartels (2002, 2016) find that voters punish incumbent politicians indiscriminately after such disasters. Other studies find that voters incorporate the quality of relief efforts by elected officials. We argue that results in this literature may be driven, in part, by a focus on contemporary cases of disaster and relief. In contrast, we study a case of catastrophic flooding in the American South in 1927, in which disaster aid was broadly and fairly distributed and Herbert Hoover (the 1928 Republican presidential candidate) was personally responsible for overseeing the relief efforts. Despite the distribution of unprecedented levels of disaster aid, we find that voters punished Hoover at the polls: in affected counties, Hoover’s vote share decreased by more than 10 percentage points. Our results are robust to the use of synthetic control methods and suggest that—even if voters distinguish between low- and high-quality responses—the aggregate effect of this disaster remains broadly negative. Our findings provide some support for Achen and Bartels’ idea of blind retrospection, but also generate questions about the precise mechanisms by which damage and relief affect vote choice.

Suggested Citation

  • Heersink, Boris & Peterson, Brenton D. & Jenkins, Jeffery A., 2017. "Disasters and Elections: Estimating the Net Effect of Damage and Relief in Historical Perspective," Political Analysis, Cambridge University Press, vol. 25(2), pages 260-268, April.
  • Handle: RePEc:cup:polals:v:25:y:2017:i:02:p:260-268_00
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    Cited by:

    1. Ignacio Lago & André Blais, 2022. "Floods, terrorist attacks and the covid-19 pandemic: How the (de)centralization of power affects the rally around the flag," Working Papers. Collection A: Public economics, governance and decentralization 2208, Universidade de Vigo, GEN - Governance and Economics research Network.
    2. Fernandez-Navia, Tania & Polo-Muro, Eduardo & Tercero-Lucas, David, 2021. "Too afraid to vote? The effects of COVID-19 on voting behaviour," European Journal of Political Economy, Elsevier, vol. 69(C).
    3. Gianmarco Daniele & Andrea F.M. Martinangeli & Francesco Passarelli & Willem Sas & Lisa Windsteiger, 2020. "Wind of Change? Experimental Survey Evidence on the Covid-19 Shock and Socio-Political Attitudes in Europe," CESifo Working Paper Series 8517, CESifo.
    4. Guillaume Allaire Pouliot & Zhen Xie, 2022. "Degrees of Freedom and Information Criteria for the Synthetic Control Method," Papers 2207.02943, arXiv.org.
    5. Achille Nazaret & Claudia Shi & David M. Blei, 2023. "On the Misspecification of Linear Assumptions in Synthetic Control," Papers 2302.12777, arXiv.org.
    6. Roberto Ramos & Carlos Sanz, 2018. "Backing the incumbent in difficult times: the electoral impact of wildfires," Working Papers 1810, Banco de España.
    7. Cerqua, A. & Ferrante, C. & Letta, M., 2021. "Electoral Earthquake: Natural Disasters and the Geography of Discontent," GLO Discussion Paper Series 790, Global Labor Organization (GLO).
    8. Cavalcanti, Francisco, 2018. "Voters sometimes provide the wrong incentives. The lesson of the Brazilian drought industry," MPRA Paper 88317, University Library of Munich, Germany.
    9. Nils Verheuvel & Joost Witteman & Marilou Vlaanderen, 2023. "Synthetic Control Method for Dutch Policy Evaluation," De Economist, Springer, vol. 171(1), pages 51-83, March.
    10. Cerqua, Augusto & Ferrante, Chiara & Letta, Marco, 2023. "Electoral earthquake: Local shocks and authoritarian voting," European Economic Review, Elsevier, vol. 156(C).

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