Daniel Gibbs

Ph.D. Candidate, Department of Politics, Princeton University
300 Fisher Hall


My primary research interest is applied game theory with an emphasis on dynamic games of incomplete information. Substantively my research focuses on formal models of political agency and bureaucratic organization. This research broadly seeks to understand the mechanisms through which citizens hold bureaucrats and politicians accountable in democracies.

Peer-Reviewed Journal Articles

Gibbs, Daniel. 2019. "Selection Rates and Bureaucratic Performance." Economics of Governance 20 (2), 159-181. https://doi.org/10.1007/s10101-018-0217-0

Book Chapters

Gibbs, Daniel. 2018. "F.A. Hayek and the Administrative State." In Exploring the Political Economy and Social Philosophy of F.A. Hayek, ed. Peter J. Boettke, Virgil Henry Storr, and Jayme Lemke. London: Rowman & Littlefield International.

Papers Under Review or Invited for Resumbission

Gibbs, Daniel. 2019. "Civil Service Reform, Self Selection, and Bureaucratic Performance."


An Introduction to Mathematics for Political Science is a course I co-created and teach with Brendan Cooley at Princeton University. The course introduces graduate students to the mathematical tools necessary for advanced research in formal and quantitative political science. Topics include calculus, linear algebra, real analysis, probability, set theory, and optimization. The course is designed for incoming Ph.D. students to the Princeton Politics Department. We have made our course material publicly available both as an aid for instructors of similar courses and for political scientists interested in reviewing mathematics germane to the discipline.