Text as data: a machine learning-based approach to measuring uncertainty

arXiv 11 Jun 2020 · Econometrics · 1 citations (OpenAlex)

arXiv:2006.06457 · PDF · DOI · OpenAlex

Abstract

The Economic Policy Uncertainty index had gained considerable traction with both academics and policy practitioners. Here, we analyse news feed data to construct a simple, general measure of uncertainty in the United States using a highly cited machine learning methodology. Over the period January 1996 through May 2020, we show that the series unequivocally Granger-causes the EPU and there is no Granger-causality in the reverse direction

Citation extraction

No citation data for this paper: 2006.06457_source: not a tar archive and not gzip (Not a gzipped file (b'%P')). arXiv holds no LaTeX source for roughly 8% of econ.EM submissions (PDF-only), and those can never enter the citation graph.