Partisan Sentiment and Returns From Online Political Betting Markets in the 2020 US Presidential Election

Mary Becker, Zachary McGurk and Marc LoGrasso

Scottish Journal of Political Economy, 2025, vol. 72, issue 4

Abstract: In this study, we estimate the role of daily partisan sentiment in predicting the returns from political betting markets on the PredictIt platform for 10 of the most competitive states in the 2020 US presidential election. We utilize a textual analysis approach (multinomial inverse regression method) to measure partisan sentiment for market participants through message board posts on each market's web page. Our results suggest that estimated partisan sentiment may play a role in the mispricing of political betting markets. Results are strongest for Republican assets and are robust to different specifications.

Date: 2025
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https://doi.org/10.1111/sjpe.70007

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