arXiv · 2308.10993
Econometrics of Machine Learning Methods in Economic Forecasting
Abstract
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.
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Andrii Babii, Eric Ghysels, Jonas Striaukas. 2023-08-21. Econometrics of Machine Learning Methods in Economic Forecasting. https://arxiv.org/abs/2308.10993
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