Abstract
Natural disasters raise challenging trade-offs between public health safety and inalienable rights like the active involvement in political choices through voting. We exploit a quasi-experimental setting provided by multiple ballots across regions and municipalities during the Italian 2020 elections to estimate the effect of voters’ turnout on the spread of COVID-19. By employing an event-study design with a two-stage Control Function strategy, we find that post-poll new COVID infections increased by an average of 1.1% for each additional percentage point of turnout. Based on these estimates and real political events, we also show through a simulation that in-person voting during a high-infection regime may have a large impact on public health outcomes, more than doubling new infections, deaths and hospitalizations. These findings suggest that policy-makers’ responses to natural disasters should be flexible and contingent to the emergency severity, in order to minimize social costs for citizens.
Original language | English |
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Pages (from-to) | 1025-1052 |
Number of pages | 28 |
Journal | Journal of Economic Behavior and Organization |
Volume | 200 |
Early online date | 19 Jul 2022 |
DOIs | |
Publication status | Published - Aug 2022 |
Event | 42nd Annual AHES Conference - Virtual event Duration: 21 Sept 2021 → 22 Sept 2021 https://ahes.org.au/event/42nd-annual-ahes-conference/ |
Bibliographical note
The authors are thankful for useful comments and suggestions to the Editor, two anonymous reviewers, Jo Blanden, Laura Blow, Valentina Corradi, Esteban Jaimovich, Francesco Moscone, Vincent O’Sullivan, Giacomo Pasini, Luigi Pistaferri, Leonid Polishchuk, Luigi Siciliani, Maurizio Zanardi, Francesca Zantomio and participants to seminars at Ca’ Foscari University of Venice (April 2021), HSE University (November 2021), EuHEA 2021 PhD Conference, Australian Health Economics Society 2021 Conference, 24th AIES Conference (Milan, December 2021).The authors acknowledge funding from the Faculty of Arts and Social Sciences under the Newsworthy Fund scheme.
We are also thankful to Istituto Superiore di Sanita’ (ISS) for providing us with municipality level COVID data for this work, coming from the “ISS COVID-19 Integrated Surveillance” national data repository; the findings and opinions expressed in this study do not represent any views from ISS staff. The usual disclaimer applies.
Keywords
- Voting
- COVID-19
- Public health
- Civic capital
- Event study
- Endogeneity
- Control function