ECON 493
Machine Learning for Economics
Fall 2023
Readings
- James, G., Witten, D., Hastie, T., and Tibshirani, R. (2021): An Introduction to Statistical Learning: with Applications in R, 2nd edition
- Hyndman, R., and Athanasopoulos, G. (2018): Forecasting: Principles and Practice, 2nd edition
- Békés, G., and Kézdi G. (2021): Data Analysis for Business, Economics, and Policy
- Hyndman, R., and Athanasopoulos, G. (2021): Forecasting: Principles and Practice, 3rd edition
- Stock, J.H., and Watson M.W. (2019): Introduction to Econometrics, 4th edition
- Taddy, M. (2019): Business Data Science: Combining Machine Learning and Eco- nomics to Optimize, Automate, and Accelerate Business Decisions
- Verbeek, M. (2012): A Guide to Modern Econometrics, 4th edition
- Wickham, H., Çetinkaya-Rundel, M., and Grolemund, G. (2023): R for Data Science, 2nd edition
Winter 2023
Readings
- James, G., Witten, D., Hastie, T., and Tibshirani, R. (2021): An Introduction to Statistical Learning: with Applications in R, 2nd edition
- Hyndman, R., and Athanasopoulos, G. (2018): Forecasting: Principles and Practice, 2nd edition
- Békés, G., and Kézdi G. (2021): Data Analysis for Business, Economics, and Policy
- Elliott, G. and Timmermann, A. (2016): Economic Forecasting
- Hyndman, R., and Athanasopoulos, G. (2021): Forecasting: Principles and Practice, 3rd edition
- Taddy, M. (2019): Business Data Science: Combining Machine Learning and Eco- nomics to Optimize, Automate, and Accelerate Business Decisions, 1st edition
- Verbeek, M. (2012): A Guide to Modern Econometrics, 4th edition
- Wickham, H., and Grolemund, G. (2017): R for Data Science
Sources
- Course catalogue ↗2026–2027
- 2018-Fall-ECON-493-LECTURE-A1 ↗2018
- 2019-Winter-ECON-493-LECTURE-B1 ↗2019
- 2019-Fall-ECON-493-LECTURE-A1 ↗2019
- 2020-Fall-ECON-493-LECTURE-A1 ↗2020
- 2023-Winter-ECON-493-LECTURE-B1 ↗2023
- 2023-Fall-ECON-493-LECTURE-A1 ↗2023
- Partial automated extraction.
- Partial automated extraction.