Econometrics of Machine Learning Methods in Economic Forecasting
Babii, Andrii, Ghysels, Eric, Striaukas, Jonas
This paper surveys the recent advances in machine learning method for economic forecasting. The survey covers the following topics: nowcasting, textual data, panel and tensor data, high-dimensional Granger causality tests, time series cross-validation, classification with economic losses.
Aug-21-2023
- Country:
- North America > United States > North Carolina > Orange County > Chapel Hill (0.14)
- Genre:
- Overview (1.00)
- Research Report (1.00)
- Industry:
- Banking & Finance > Economy (1.00)