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 politics, lobbying, political economy, and American political institutions, using methods from computational social science and applied statistics. I also develop methodological tools to improve machine learning practices in political science.
Teaming Up Across Political Divides: Evidence from Climate Regulations
(Previously titled "Teaming up with the Enemy: Firms and the Information Environment of Climate Regulations.")
Quantifying Informative Signals from Interest Groups
(with Brandon Stewart and Denis Peskoff) Revise & Resubmit, Political Science Research and MethodsLearning from Noise: Applying Sample Complexity for Social Science Research
(with Perry Carter)
Scientification of Politics? Interest Group Influence on Bureaucratic Expertise in Climate Change
Politics of Academic Experts: Evidence from Antitrust Laws
(with Nolan McCarty)Political Cycle of Government Innovation
(with John M. de Figueiredo)Firms’ Political Response to Regulatory Capacity: Evidence from State-Level Workforce Shocks
(with Kyuwon Lee)Sample Complexity For Open-Ended Survey Responses
(with Perry Carter and Narrelle Gilchrist)
How Interest Groups Strategically Take Advantage of Voter's Rational Inattention
A Dataset of Presidential Election Results at the Congressional District Level
(with Christian Baehr, Francesca Tang and Rocio Titiunik)