William Marble

Will Marble I am a Ph.D. candidate in the Political Science Department at Stanford University, where I research inequality in the political, economic, and social spheres. I received my B.A. in political science and economics from the University of Pennsylvania.

For more information, see my CV or Google Scholar page. Contact me by email at wpmarble@stanford.edu or on Twitter at @wpmarble.


Where Self-Interest Trumps Ideology: Liberal Homeowners and Local Opposition to Housing Development (with Clayton Nall). Forthcoming, Journal of Politics.

City Limits to Partisan Polarization in the American Public (with Amalie Jensen, Kenneth Scheve, and Matthew Slaughter). Conditionally accepted, Political Science Research and Methods.

Can Exposure to Celebrities Reduce Prejudice? The Effect of Mohamed Salah on Islamophobic Behaviors and Attitudes (with Ala’ Alrababa’h, Salma Mousa, and Alexandra Siegel). Revised and resubmitted, American Political Science Review.

The Structure of Political Choices: Distinguishing Between Constraint and Multidimensionality (with Matthew Tyler). Conidtionally accepted, Political Analysis.

Who Put Trump in the White House? Explaining the Contribution of Voting Blocs to Trump’s Victory (with Justin Grimmer).

Why Not Run? Assessing Disincentives to Office-Seeking (with Nathan Lee).

How Policymakers Evaluate Online versus Offline Constituent Messages (with Kaiping Chen and Nathan Lee).

Mail Voting Can Decrease Ballot Roll-Off.

Other Writing

The Evidence and Tradeoffs for a “Stay-at-Home” Pandemic Response: A multidisciplinary review examining the medical, psychological, economic and political impact of “Stay-at-Home” implementation in America (with Alexis A. Doyle, Mollie S.H. Friedlander, Grace D. Li, Courtney J. Smith, et al.).


I have served as a teaching assistant for several classes at Stanford, including two years TA’ing the quantitative methods sequence for political science Ph.D. students, as well an undergraduate courses in game theory and American political institutions. I'm happy to share teaching materials upon request.

Computing Tutorials

Webscraping in R: slides, tutorial (pdf), GitHub

Data visualization using ggplot2: slides, GitHub