Dahyun Choi

Ph.D. Candidate
Department of Politics
Princeton University
dahyunc@princeton.edu

Hello! I am a Ph.D. candidate in the Department of Politics at Princeton University, where I am affiliated with the Center for the Study of Democratic Politics, the Data-Driven Social Science Initiative, and the Program for Quantitative and Analytical Political Science. I work on questions in interest group and bureaucratic politics, political economy, and American political institutions, using computational methods that involve text analysis and large language models, with an empirical focus on environmental policymaking.

Working Papers

Partisan Bias and the Resilience of High-Quality Science

[ ]

Fine-tuned Large Language Models Can Replicate Expert Coding Better than Trained Coders

(with Brandon Stewart and Denis Peskoff) Revise & Resubmit, Political Science Research and Methods [ ]

Teaming Up Across Political Divides: Evidence from Climate Regulations

Revise & Resubmit, Economics and Politics [ | paper ]

How Much Data Is Enough? A Design-aware Approach to Empirical Sample Complexity in Political Science

(with Perry Carter)

[ | paper ]

Regulatory Capacity and Corporate Political Disengagement: Evidence from State-Level Workforce Shocks

(with Kyuwon Lee) [ | paper ]

Parallel Forces, Parallel Patterns 1868–2024: An Integrated Approach to Seat and Vote Shares in the House and Senate

(with Charles Cameron and Harry Paarsch)

How Do Bureaucrats Learn in Absence of Autonomous Sources of Expertise?


Politics of Academic Experts

(with Nolan McCarty)