Long-run expectations in a learning-to-forecast experiment

We conduct a Learning to Forecast Experiment using a novel setting in which we elicit subjects' short- and long-run expectations on the future price of an asset. We find that: (i) the rational expectations equilibrium is not a meaningful description for the whole time spectrum of subjects'...

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Published inApplied economics letters Vol. 25; no. 10; pp. 681 - 687
Main Authors Colasante, Annarita, Alfarano, Simone, Camacho, Eva, Gallegati, Mauro
Format Journal Article
LanguageEnglish
Published London Routledge 07.06.2018
Taylor & Francis LLC
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Abstract We conduct a Learning to Forecast Experiment using a novel setting in which we elicit subjects' short- and long-run expectations on the future price of an asset. We find that: (i) the rational expectations equilibrium is not a meaningful description for the whole time spectrum of subjects' expectations; (ii) they are, instead, better described by an anchor-and-adjustment learning scheme; (iii) subjects exhibit a higher degree of heterogeneity in their long-run expectations vis-à-vis short-run expectations.
AbstractList We conduct a Learning to Forecast Experiment using a novel setting in which we elicit subjects' short- and long-run expectations on the future price of an asset. We find that: (i) the rational expectations equilibrium is not a meaningful description for the whole time spectrum of subjects' expectations; (ii) they are, instead, better described by an anchor-and-adjustment learning scheme; (iii) subjects exhibit a higher degree of heterogeneity in their long-run expectations vis-à-vis short-run expectations.
Author Colasante, Annarita
Gallegati, Mauro
Alfarano, Simone
Camacho, Eva
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SubjectTerms Assets
coordination
Economic analysis
Economic forecasting
Economic theory
Economics
Learning
learning-to-forecast experiments
Long-run expectations
Prices
Rational expectations
Title Long-run expectations in a learning-to-forecast experiment
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