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Journal of Banking & Finance Vol. 166 2024

Fifty shades of QE revisited

Martin Weale1,2,3; Tomasz Wieladek1,4,2,5,6,3

1 University of London · 2 King's College London · 3 Universidad de Londres · 4 The King's College · 5 King's College School · 6 King's College Hospital

open access

Abstract

Fabo et al. (2021) use OLS regression to show that central bankers report quantitatively larger effects of QE on output and inflation than do academic researchers. We reject the null hypothesis of a Gaussian distribution of the residuals in many of these specifications, except for the language regressions. We then repeat the analysis with regression estimators that are robust to a non-Gaussian residual distribution where this is feasible. We use the median regression and the MS regression estimator. With these robust regression approaches, the null hypothesis that central bank and academic researchers report the same quantitative effect of QE on output and inflation cannot be rejected, with point estimates which are less than half as large. This statistical challenge suggests that more research is required to understand better whether central bank researchers report different QE multipliers or not.

DOI
10.1016/j.jbankfin.2024.107239
Volume
166
Pages
107239
Language
en
Sources
crossref openalex bibtex:phds-export.bib

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