Byeong-Hak Choe

Assistant Professor of Data Analytics and Economics
School of Business at SUNY Geneseo

My research is centered on environmental economics, with related work in energy economics, natural resource economics, and applied economics. I combine causal inference and machine learning with economic theory to study environmental governance, regulatory incentives, and how institutions measure and monitor behavior. Across these settings, I am interested in how people and organizations respond when rules, incentives, or information change.

In the classroom, I connect economics, data science, and generative AI. Students combine data visualization with machine learning and econometrics to address questions in business strategy, public policy, and individual decision-making. My goal is to help students think critically and build rigorous analytical skills they can use on real-world problems.

Email · Curriculum vitae (PDF)

Portrait of Byeong-Hak Choe

Research

Fields: Environmental Economics, Energy Economics, Natural Resource Economics, Applied Economics.

Methods: Causal Inference, Machine Learning, Text Analysis, and Economic Theory.

Publication

  1. Climate Finance under Limited Commitment and Renegotiations: A Dynamic Contract Approach. Journal of Risk and Financial Management, 19(1), 76 (2026). Simulation code.

Working papers

  1. Social Media Campaigns, Lobbying and Legislation: Evidence from #climatechange and Energy Lobbies.
  2. Speed vs. Safety (with Stephen Newbold).
  3. Learning from Scalable Platform Monitoring: Evidence from Chess.com’s Proctor Rollout.
  4. Firm Change or Rating-System Change? Evidence on ESG Classification Instability.

Book chapter

  1. Governance and Climate Finance in the Developing World (with Tilsa Oré-Mónago). In Wu, F., Zhang, D., and Ji, Q. (Eds.), Climate Finance: Supporting a Sustainable Energy Transition, Chapter 7, Springer Nature (July 2024).

Teaching

Alongside ECON 341, my course websites include:

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