ADVANCED ECONOMETRICS FOR ENERGY MARKETS

Credit Hours: 4 · Undergraduate Upper-Level

This course provides an introduction to advanced econometric techniques, focusing on time series and panel data as applied to energy markets. Students will learn to handle issues such as autocorrelation and seasonality in energy data, develop ARIMA models for forecasting, and apply these techniques in Python. The course emphasizes practical applications through lab sessions and concludes with a final project that requires students to conduct demand estimation and forecasting for an energy commodity, presented in an interactive dashboard format. Graduate/Undergraduate Equivalency: ECON 623 . Mutually Exclusive: Cannot register for ECON 423 if student has credit for ECON 623 .