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Journal of Financial Stability Vol. 60 2022

Economists in the 2008 financial crisis: Slow to see, fast to act

Daniel Levy; Tamir Mayer1; Alon Raviv1

1 Bar-Ilan University

open access

Abstract

We study the economics- and finance-scholars’ reaction to the 2008 financial crisis using machine learning language analyses methods of Latent Dirichlet Allocation and dynamic topic modelling algorithms, to analyze the texts of 14,270 NBER working papers covering the 1999–2016 period. We find that academic scholars as a group were insufficiently engaged in crises’ studies before 2008. As the crisis unraveled, however, they switched their focus to studying the crisis, its causes, and consequences. Thus, the scholars were “slow-to-see,” but they were “fast-to-act.” Their initial response to the ongoing Covid-19 crisis is consistent with these conclusions.

DOI
10.1016/j.jfs.2022.100986
Volume
60
Pages
100986
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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