Daniel Gibbs

Assistant Professor
Virginia Tech
Department of Political Science & Kellogg Center for Philosophy, Politics, and Economics
820 University City Blvd.
Blacksburg, VA 24060
[email protected]

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Research

My research develops new formal models to study policymaking in legislatures and policy implementation by bureaucracies. In particular, I study how elections shape legislative policymaking and how bureaucratic organization influence bureaucratic capacity. This research broadly seeks to understand the conditions under which legislatures choose policies that citizens value and the capacity of bureaucracies to implement these policies.

Peer-Reviewed Journal Articles

"Selection Rates and Bureaucratic Performance." Economics of Governance 20, no. 2 (June 2019): 159-181.

"Civil Service Reform, Self Selection, and Bureaucratic Performance." Economics & Politics 32, no. 2 (July 2020): 279-304.

Book Chapters

"F.A. Hayek and the Administrative State." In Exploring the Political Economy and Social Philosophy of F.A. Hayek, edited by Peter J. Boettke, Virgil Henry Storr, and Jayme Lemke, 171-191. London: Rowman & Littlefield International, 2018.

Working Papers

"Individual Accountability, Collective Decision-making."

"The Reputation Politics of the Filibuster." Appendix.

"Message Legislation and the Politics of Virtue Signaling," with Jesse Crosson and Charles Cameron.

"Virtue Signaling: A Theory of Message Legislation," with Charles Cameron.

Works in Progress

"Government-Specific Human Capital and the Loyalty-Competence Trade-off in Bureaucracies," with Carolyn Barnett.

"Representation in Legislatures: Moderation's Appeal," with Gleason Judd.

Mathematics for Politics Science

An Introduction to Mathematics for Political Science is a course I co-created and taught with Brendan Cooley at Princeton University in 2018 and 2019. 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.