Matthew Tyler
Assistant Professor · Political Science · Rice University
I am an Assistant Professor in the Department of Political Science at Rice University. I develop and apply statistical methods to study public opinion and political behavior, with a focus on measurement, causal inference, and partisan polarization.
Most of my current research examines how errors in survey responses affect what we can learn about political attitudes. I am the principal investigator on a National Science Foundation (NSF) CAREER grant supporting the development of methods to address these errors, with applications to measuring support for political violence and belief in conspiracy theories.
I earned my PhD in Political Science from Stanford University in 2021 and hold bachelor’s degrees in Statistical Science and Mathematics from Duke University.
Publications & manuscripts
Research
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Peer Reviewed Articles
9 items-
Campaigns Reinforce Partisanship and Short-Term Forces: Evidence from a Large-Scale Panel Study of the 2020 US Presidential Campaign
Political Science Research and Methods. Conditionally accepted (pending replication).
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Why Are Surveys Struggling to Estimate Vote Shares?
American Journal of Political Science (Early View).
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Evaluating a New Generation of Expansive Claims about Vote Manipulation
Election Law Journal 23(3): 211–236.
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Testing the Robustness of the ANES Feeling Thermometer Indicators of Affective Polarization
American Political Science Review 118(3): 1570–1576.
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Learning to Dislike Your Opponents: Political Socialization in the Era of Polarization
American Political Science Review 117(1): 347–354.
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Current Research Overstates American Support for Political Violence
Proceedings of the National Academy of Sciences 119(12): e2116870119.
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Partisan Enclaves and Information Bazaars: Mapping Selective Exposure to Online News
The Journal of Politics 84(2): 1057–1073.
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The Structure of Political Choices: Distinguishing Between Constraint and Multidimensionality
Political Analysis 30(3): 328–345.
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Machine Learning Predictions as Regression Covariates
Political Analysis 29(4): 467–484.
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Working papers
3 items-
A Statistical Framework to Engage the Problem of Disengaged Survey Respondents: Measuring Public Support for Partisan Violence
Working paper, July 13, 2024.
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Designing for Power: Covariates, Indices, and Efficiency in Survey Experiments
Working paper, January 14, 2026.
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Bounding Causal Effects in Survey Experiments with Noncompliance or Inattention
Working paper.
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Other Publications
1 item-
Reply to Kalmoe and Mason: The Pitfalls of Using Surveys to Measure Low-Prevalence Attitudes and Behavior
Proceedings of the National Academy of Sciences 119(32): e2207584119.
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