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American Economic Review Vol. 110 No. 9 2020

Overreaction in Macroeconomic Expectations

Pedro Bordalo1; Nicola Gennaioli2; Yueran Ma3; Andrei Shleifer4

1 Oxford Said Business School (email: ) · 2 Università Bocconi and IGiER (email: ) · 3 Chicago Booth (email: ) · 4 Harvard University (email: )

Abstract

We study the rationality of individual and consensus forecasts of macroeconomic and financial variables using the methodology of Coibion and Gorodnichenko (2015), who examine predictability of forecast errors from forecast revisions. We find that individual forecasters typically overreact to news, while consensus forecasts under-react relative to full-information rational expectations. We reconcile these findings within a diagnostic expectations version of a dispersed information learning model. Structural estimation indicates that departures from Bayesian updating in the form of diagnostic overreaction capture important variation in forecast biases across different series, yielding a belief distortion parameter similar to estimates obtained in other settings.

DOI
10.1257/aer.20181219
Volume
110
Issue
9
Pages
2748-2782
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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