Abstract
Two studies examine the effects of temperature anomalies (relative to ten-year averages) on interest in and support for climate policies. Study 1 analyzes the impacts of local temperature anomalies on information acquisition, namely Google searches, about climate change and climate policies. We find strong evidence that temperature anomalies are associated with increased climate change information acquisition. Our results show that deviations from seasonal norms in both directions (i.e., temperatures higher or lower than expected) predict increased interest. Study 2 analyzes voting for Republican candidates, who in the timeframe of our data were not likely to support climate policies. Analysis of voting records from ten US midterm elections from 2002 to 2020 shows that greater local temperature anomalies are significantly associated with lower vote shares for Republican candidates.
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