Research

Working Papers


The "Fake News" Effect: Experimentally Identifying Motivated Reasoning Using Trust in News

Summary: I design a new experimental tool for portably identifying motivated reasoning from Bayesian updating, and use this tool to show that politics affects inference about factual questions on a broad range of topics: immigration, income mobility, crime, racial discrimination, gender, climate change, and gun laws. Politically-motivated reasoning is more severe for partisans and leads people to over-trust news more when it reinforces the biases in their beliefs.


Do People Engage in Motivated Reasoning to Think the World Is a Good Place for Others?

Summary: I experimentally test whether people motivatedly reason towards believing the world is a good place for others, and find a well-powered null effect. Via a survey, I show that respondents anticipate that these types of "positive" beliefs make people happier but are not necessarily beliefs that they are motivated to hold.


Gender Differences in Motivated Reasoning

Summary: I show experimentally that there are statistically significant gender gaps in motivated reasoning about outperforming others, but that motivated reasoning about political issues is similar across genders. Motivated reasoning can help explain why there are gender gaps in overconfidence.

Publications


Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic (with Hunt Allcott, Levi Boxell, Jacob Conway, Matthew Gentzkow, and David Yang). Journal of Public Economics, forthcoming.

Summary: Using GPS data, we show that areas with more Republicans have engaged in less social distancing during COVID-19 than areas with more Democrats, and using a new survey, we show that Republican individuals self-report less social distancing and believe that the risk of COVID-19 is lower.

Media: Wired, CNN (video), New York Times, Mother Jones, Economist, Reuters, Los Angeles Times, FiveThirtyEight, Newsweek, USA Today

Works in Progress


n ∈ [6,12] Angry Men: The Importance of Endogenizing Jury Size when Comparing Voting Rules

Summary: I present a model that compares the accuracy and efficiency of jury voting mechanisms when both jury size and voting rule can vary. The main result is that an (n+2)-person jury that allows for one dissenter is both more accurate and less likely to hang than an n-person jury under unanimity. (Slides available upon request.)

And Now for Something Completely Different


Tribone Tilings of Triangular Regions that Cover All but Three Holes. Discrete & Computational Geometry, 2015.

Summary: I show that there are a lot of ways to tile triangular regions with tribones when you leave three spaces uncovered.