Rain, Emotions and Voting for the Status Quo
Armando N. Meier (),
Lukas D. Schmid () and
Alois Stutzer ()
Additional contact information
Armando N. Meier: University of Basel
Lukas D. Schmid: University of Lucerne
No 10350, IZA Discussion Papers from Institute for the Study of Labor (IZA)
Do emotions affect the decision between change and the status quo? We exploit exogenous variation in emotions caused by rain and analyze data on more than 400 ballot propositions in Switzerland for the years 1958 to 2014 to address this question. The empirical tests are based on administrative ballot outcomes and individual postvote survey data. We find that rain decreases the share of votes for a change. Our robustness checks suggest that changes in the composition of the electorate or changes in information acquisition do not drive this result. In addition, we provide evidence that rain might have altered the outcome of several high-stake votes. We discuss the psychological mechanism and document that rain reduces the willingness to take risks, a pattern that is consistent with the observed reduction in the support of change.
Keywords: emotions; voting; status quo; risk aversion; rain; direct democracy; turnout (search for similar items in EconPapers)
JEL-codes: D03 D72 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cdm and nep-pol
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp10350
Ordering information: This working paper can be ordered from
IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Access Statistics for this paper
More papers in IZA Discussion Papers from Institute for the Study of Labor (IZA) IZA, P.O. Box 7240, D-53072 Bonn, Germany. Contact information at EDIRC.
Series data maintained by Mark Fallak ().