COURSE NOT OFFERED IN 2025/2026

This course explores contemporary challenges in resource and energy economics, with a strong focus on climate change, energy markets, and the role of data-driven decision-making. Emphasis is placed on the use of high-dimensional and high-frequency data, structural modeling, and advanced econometric techniques—including high-dimensional regression and machine learning methods—to analyze commodity prices, electricity markets, and policy impacts. Students learn to translate economic theory into empirical models and to select and implement appropriate estimation techniques using real-world datasets. Applications include forecasting energy demand, evaluating the effects of climate-related shocks, and quantifying market dynamics. The course blends theory, data analysis, and policy evaluation, preparing students to address complex sustainability and energy issues using modern quantitative tools.