I am currently a Postdoctoral Scholar for both the Democracy and Polarization Lab at Stanford University and the American National Election Studies at Stanford University. Beginning in July 2023 I will be an Assistant Professor of Political Science at Rice University. I completed my Ph.D. in Political Science, with focuses in Political Methodology and American Politics, from Stanford University in June 2021. Broadly, my research covers topics in applied statistics and American political behavior. My peer-reviewed publications have appeared or are accepted to appear in journals such as Proceedings of the National Academy of Sciences, American Political Science Review, The Journal of Politics, and Political Analysis.
My CV can be found here.
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]
Iyengar, Shanto and Matthew Tyler. “Testing the Robustness of the ANES Feeling Thermometer Indicators of Affective Polarization.” Minor revise, American Political Science Review. [PDF]
Grimmer, Justin, Michael C. Herron, and Matthew Tyler. “Evaluating a New Generation of Expansive Claims about Vote Manipulation.” Revise and resubmit, Election Law Journal. [PDF]
Tyler, Matthew. “Counterfactual Forecasting: Causal Inference without Simultaneous Controls.” [PDF]
Tyler, Matthew, Justin Grimmer, and Sean J. Westwood. “A Statistical Framework to Engage the Problem of Disengaged Survey Respondents.” [PDF]
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