A Review on Artificial Intelligence and Behavioral Macroeconomics
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53824-7_30
Reference29 articles.
1. Goldfarb, A., Taska, B., Teodoridis, F.: Could machine learning be a general purpose technology? a comparison of emerging technologies using data from online job postings. Res. Policy 52, 104653 (2023)
2. Duan, Y., Goodell, J.W., Li, H., Li, X.: Assessing machine learning for forecasting economic risk: evidence from an expanded Chinese financial information set. Financ. Res. Lett. 46, 102273 (2022)
3. Zheng, Y., Zheng, H., Ye, X.: Using machine learning in environmental tax reform assessment for sustainable development: A case study of Hubei Province, China. Sustainability 8, 1124 (2016)
4. Charness, G., Rabin, M.: Social preferences: some simple tests and a new model (2000). https://econ-papers.upf.edu/papers/441.pdf
5. Thaler, R.H., Ganser, L.: Misbehaving: the making of behavioral economics (2015)
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