Persuasion with ambiguous receiver preferences
Published in Economic Theory, 2023
In Bayesian persuasion, a Sender with maxmin preferences linearizes the prior.
Research
You can also find my articles on my Google Scholar profile.
Journal Publications
Conference Publications
Examining Political Trustworthiness through Text-Based Measures of Ideology
Published in Proceedings of the 33rd AAAI Conference on Artificial Intelligence, 2019
Classical NLP methods show how speech and voting records of U.S. senators differ in systematic ways.
Working Papers
Does Party Affiliation Trump Appointing President? An Empirical Analysis of Trump’s Appellate Judges
Submitted, 2026.
Trump-appointed appellate judges do not produce more conservative case outcomes than other Republican appointees, but they do cast more conservative votes from the bench.
Appealing to Large-Language-Model-as-Judge: A Comprehensive Machine-Coded Database for the U.S. Courts of Appeals
Submitted, 2026.
We use large language models to extend standard political science codebooks to the universe of published U.S. Court of Appeals opinions (440,000 published opinions, 1892–2025).
Strategic Opinion-Writing on Appellate Courts
Last updated 2025. Revision coming soon.
Partisanship causes more dissents on U.S. appellate courts, but those dissents do not always follow partisan lines.
Discovery through Trial Balloons
Last updated 2022.
Exploring high-variance “trial balloon” projects can provide informational value even when they are ex-ante disliked.