edrubin/EC524W22
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taught by Ed Rubin
This resource provides materials for a Masters-level course focused on applying prediction and machine learning techniques within econometrics. It offers lecture notes, readings, and practical exercises on statistical learning foundations, model accuracy, various regression and classification methods, and unsupervised learning. Econometrics students, researchers, and data practitioners seeking to enhance their predictive modeling skills for economic data would find this valuable.
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Use this if you are a student or professional in economics looking to learn or reinforce your understanding of machine learning applications for making predictions with economic data.
Not ideal if you are looking for a deep dive into causal inference or advanced theoretical machine learning without an applied econometrics context.
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