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Andrew C. W. Myers

Ph.D. Candidate · Department of Political Science · Stanford University

I am a fourth-year Ph.D. candidate in Political Science at Stanford University, specializing in American politics and political methodology. My research studies how elections influence polarization and policymaking in American legislatures. I collect large-scale datasets on elections, campaign finance, and voter registration and analyze them using modern causal inference techniques and machine learning. My work is published or forthcoming in outlets including the American Political Science Review, American Journal of Political Science, and Science Advances.

Prior to graduate school, I received my B.A. in Political Science and Economics from St. Olaf College in Northfield, Minnesota.

Publications

Working Papers

Datasets

  • State Legislative Primary Election Returns Dataset, 1990-2024 (Joint with Alexander Fouirnaies, Andrew B. Hall, Cassandra Handan-Nader, and Steven Rogers).
    Summary

    The State Legislative Primary Election Returns Dataset contains vote returns in every regularly-scheduled state legislative primary election between 1990 and 2024, totaling nearly 350,000 observations. All underlying data is hand-collected from official sources and extensively standardized and linked to other scholarly and administrative databases. Data for single-member districts between 2000 and 2022 is publicly available on the Harvard Dataverse. The complete dataset is available by request and will be hosted on a dedicated webpage in the near future.

  • State Voter Registration Panel, 2010-2022 (Joint with Justin Grimmer and Kasey Rhee).
    Summary

    The State Voter Registration Panel contains voter registration snapshots collected at regular intervals across all forty-nine registration states between 2010 and 2022, totaling six billion observations. All data comes directly from secretaries of state offices and is standardized and linked across time. Contact me for more information on this dataset.