Matthew Tyler's Homepage

Bio

Matthew Tyler develops statistical methods to improve measurements and causal inferences made with survey data. He applies these and other state-of-the-art methods to examine political polarization and policy representation in American politics. He has published articles on these topics in journals including the American Political Science Review, Proceedings of the National Academy of Sciences, The Journal of Politics, Political Analysis, and Election Law Journal. He received a PhD in political science from Stanford University (2021), a BS in statistical science from Duke University (2015), and a BA in mathematics from Duke University (2015).

DOWNLOAD CV

Peer-Reviewed Publications

Grimmer, Justin, Michael C. Herron, and Matthew Tyler. “Evaluating a New Generation of Expansive Claims about Vote Manipulation.” Election Law Journal 23(3): 211-236. [DOI]
Tyler, Matthew and Shanto Iyengar. 2023. “Testing the Robustness of the ANES Feeling Thermometer Indicators of Affective Polarization.” American Political Science Review 118(3): 1570-1576. [DOI]
Tyler, Matthew, and Shanto Iyengar. 2023. “Learning to Dislike Your Opponents: Political Socialization in the Era of Polarization.” American Political Science Review 117(1): 347–354. [DOI]
Westwood, Sean J., Justin Grimmer, Matthew Tyler, and Clayton Nall. 2022. “Current Research Overstates American Support for Political Violence.” Proceedings of the National Academy of Sciences 119(12): e2116870119. [DOI]
Tyler, Matthew, Justin Grimmer, and Shanto Iyengar. 2022. “Partisan Enclaves and Information Bazaars: Mapping Selective Exposure to Online News.” The Journal of Politics 84(2): 1057–73. [DOI]
Marble, William, and Matthew Tyler. 2022. “The Structure of Political Choices: Distinguishing Between Constraint and Multidimensionality.” Political Analysis 30(3): 328–45. [DOI]
Fong, Christian, and Matthew Tyler. 2021. “Machine Learning Predictions as Regression Covariates.” Political Analysis 29(4): 467–84. [DOI]

Working Papers

Tyler, Matthew, D. Sunshine Hillygus, Matthew DeBell, Ted Brader, Shanto Iyengar, Daron Shaw, Nicholas Valentino. “Why Are Surveys Struggling to Estimate Vote Shares?” Conditional accept, American Journal of Political Science.
Tyler, Matthew, Justin Grimmer, and Sean J. Westwood. “A Statistical Framework to Engage the Problem of Disengaged Survey Respondents.” [PDF]
Tyler, Matthew. “Counterfactual Forecasting: Causal Inference without Simultaneous Controls.” [PDF]