Econometrics of Machine Learning Methods in Economic Forecasting

Babii, Andrii, Ghysels, Eric, Striaukas, Jonas

arXiv.org Machine Learning 

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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