Abstract: The Themed Issue Machine Learning for Economic Policy consists of 12 papers at the intersection of machine learning, nontraditional data sources and economic policymaking. We will introduce the Themed Issue and review its contributions.
The views expressed in this paper are solely those of the authors and may differ from official Bank of Canada views. No responsibility for them should be attributed to the Bank.
Publication Citation
Haghighi, M., A. Joseph, G. Kapetanios, C. Kurz, M. Lenza and J. Marcucci. 2025. "Machine Learning for Economic Policy." Journal of Econometrics 249C No. 105970. https://doi.org/10.1016/j.jeconom.2025.105970.
