Inattentive professional forecasters

Using the ECB Survey of Professional Forecasters to characterize expectations at the micro-level, we emphasize two new facts: forecasters (i) fail to systematically update their forecasts and (ii) disagree even when updating. It is moreover found that forecasters have predictable forecast errors. Th...

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Main Authors: Le Bihan, Herve, Andrade, P.
Format: Journal Article
Published: 2013
Online Access:http://hdl.handle.net/20.500.11937/55886
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author Le Bihan, Herve
Andrade, P.
author_facet Le Bihan, Herve
Andrade, P.
author_sort Le Bihan, Herve
building Curtin Institutional Repository
collection Online Access
description Using the ECB Survey of Professional Forecasters to characterize expectations at the micro-level, we emphasize two new facts: forecasters (i) fail to systematically update their forecasts and (ii) disagree even when updating. It is moreover found that forecasters have predictable forecast errors. These facts are qualitatively supportive of recent models of inattention and suggest a setup where agents imperfectly process information due to both sticky information à la Mankiw-Reis, and noisy information à la Sims. However, building and estimating such an expectation model, we find that it cannot quantitatively replicate the error and disagreement observed in the data. © 2013 Elsevier B.V.
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spelling curtin-20.500.11937-558862018-03-29T09:09:01Z Inattentive professional forecasters Le Bihan, Herve Andrade, P. Using the ECB Survey of Professional Forecasters to characterize expectations at the micro-level, we emphasize two new facts: forecasters (i) fail to systematically update their forecasts and (ii) disagree even when updating. It is moreover found that forecasters have predictable forecast errors. These facts are qualitatively supportive of recent models of inattention and suggest a setup where agents imperfectly process information due to both sticky information à la Mankiw-Reis, and noisy information à la Sims. However, building and estimating such an expectation model, we find that it cannot quantitatively replicate the error and disagreement observed in the data. © 2013 Elsevier B.V. 2013 Journal Article http://hdl.handle.net/20.500.11937/55886 10.1016/j.jmoneco.2013.08.005 restricted
spellingShingle Le Bihan, Herve
Andrade, P.
Inattentive professional forecasters
title Inattentive professional forecasters
title_full Inattentive professional forecasters
title_fullStr Inattentive professional forecasters
title_full_unstemmed Inattentive professional forecasters
title_short Inattentive professional forecasters
title_sort inattentive professional forecasters
url http://hdl.handle.net/20.500.11937/55886