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.
Citation extraction
106
references
129
in-text mentions
106
distinct cited
2
self-citations
6,200
main-text words
appendix boundary found by none_found · 100% of the source is main text. Read the extracted text to check this.
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