ECON 593
Prediction and Machine Learning for Economics
Winter 2026
Readings
- James, G., Witten, D., Hastie, T., and Tibshirani, R. (2021). An Introduction to Statistical Learning: with Applications in R, 2nd edition. There is also a new Python version of the book
- Kuhn, M., and Silge, J. (2023). Tidy Modeling with R, 1st edition
- Hyndman, R., and Athanasopoulos, G. (2021). Forecasting: Principles and Practice, 3rd edition
- Wickham, H., Çetinkaya-Rundel, M., and Grolemund, G. (2023). R for Data Science, 2nd edition
Winter 2025
Readings
- James, G., Witten, D., Hastie, T., and Tibshirani, R. (2021). An Introduction to Statistical Learning: with Applications in R, 2nd edition. There is also a new Python version of the book
- Kuhn, M., and Silge, J. (2023). Tidy Modeling with R, 1st edition
- Hyndman, R., and Athanasopoulos, G. (2021). Forecasting: Principles and Practice, 3rd edition
- Wickham, H., Çetinkaya-Rundel, M., and Grolemund, G. (2023). R for Data Science, 2nd edition
Sources
- Course catalogue ↗2026–2027
- 2024-Winter-ECON-593-LECTURE-B1 ↗2024
- 2025-Winter-ECON-593-LECTURE-B01 ↗2025
- 2026-Winter-ECON-593-LECTURE-B01 ↗2026
- Partial automated extraction.
- Partial automated extraction.