The toll of voting in a pandemic? Regional elections and the spread of COVID-19 in Bavaria

This study investigates whether the regional elections held in the German state of Bavaria on March 15 of 2020 - shortly after the WHO declared COVID-19 a global pandemic - contributed to the spread of COVID-19 cases and COVID-related deaths. Constructing synthetic controls for each of Bavaria's 96 districts based on non-Bavarian German districts, we find that over a third of the increase in positive test results cannot be explained by district-level demographic, economic, health or child care characteristics, nor by the distance to Ischgl - a proxy for skiing tourism associated with the first COVID-19 wave in Germany. Within Bavaria, districts with higher voter participation witnessed a steeper increase in COVID-19 cases and deaths after the election, while controlling for alternative drivers, such as the distance to Ischgl and the number of strong-beer festivals. Our results are highly robust and suggest that an unfortunate timing of elections contributed to the spreading of an infectious disease.

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Publication Details

Journal
The European Journal of Health Economics
Published
2026-10-16
DOI
https://doi.org/10.1007/s10198-026-01989-2
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

The toll of voting in a pandemic? Regional elections and the spread of COVID-19 in Bavaria

Gerrit Stahn, Jochen Güntner, Amelie Wuppermann, Felix Zwies
The European Journal of Health Economics
COVID-19 epidemiological studies
article

The toll of voting in a pandemic? Regional elections and the spread of COVID-19 in Bavaria

Gerrit Stahn, Jochen Güntner, Amelie Wuppermann, Felix Zwies
article en

Abstract

This study investigates whether the regional elections held in the German state of Bavaria on March 15 of 2020 - shortly after the WHO declared COVID-19 a global pandemic - contributed to the spread of COVID-19 cases and COVID-related deaths. Constructing synthetic controls for each of Bavaria's 96 districts based on non-Bavarian German districts, we find that over a third of the increase in positive test results cannot be explained by district-level demographic, economic, health or child care characteristics, nor by the distance to Ischgl - a proxy for skiing tourism associated with the first COVID-19 wave in Germany. Within Bavaria, districts with higher voter participation witnessed a steeper increase in COVID-19 cases and deaths after the election, while controlling for alternative drivers, such as the distance to Ischgl and the number of strong-beer festivals. Our results are highly robust and suggest that an unfortunate timing of elections contributed to the spreading of an infectious disease.

The European Journal of Health Economics
Johannes Kepler University of Linz (AT), Luther University (KR), University of Bayreuth (DE), Martin Luther University Halle-Wittenberg (DE)
Good health and well-being
Openalex Percentile: Top 12%
COVID-19 epidemiological studies
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