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Article . 2024
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Applied Economics Letters
Article . 2024 . Peer-reviewed
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Floods and local incumbency disadvantage: a regression discontinuity design

Authors: LIVERT, Felipe; GAINZA, Xabier;

Floods and local incumbency disadvantage: a regression discontinuity design

Abstract

Do voters punish political leaders in the aftermath of a natural disaster? Using a Regression Discontinuity Design, this article explores how floods affect local electoral results in Chile. Taking data from polling stations, our estimations show that floods reduce incumbent candidates’ chances of winning in affected polling stations in a range from 11.3% to 22%, depending on the bandwidth considered. It also follows from our results that the greater the electoral competition, the greater the probability of losing the next race. The paper explores the electoral mechanism and finds that turnout is significantly lower in affected areas, pointing to voter dissatisfaction as an explanatory factor.

This work was supported by the Margarita Salas, Ministry of Universities and the European Union, Funded by the European Union-Next Generation EU. In addition, the authors are grateful for the support of the Human Security, Local Human Development and International Cooperation research group of the Basque University System (IT1434-22). International Cooperation of the Basque University System (IT1434-22)

Countries
Italy, Austria
Keywords

regression discontinuity, H12, Local elections, R58, Regression discontinuity, D72, flooding, natural disasters, Flooding, local elections, 502027 Politische Ökonomie, Natural disasters, 502027 Political economy, Chile

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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