Arbeitspapier
Adaptive Agents May Be Smarter than You Think: Unbiasedness in Adaptive Expectations
Agents forming adaptive expectations generally make systematic mistakes. This characterization has fostered the rejection of adaptive expectations in macroeconomics. Experimental evidence, however, shows that in complex environments human subjects frequently rely on adaptive heuristics – model-consistent expectations being simply too difficult or impossible to implement – but their forecasting performance is not as inadequate as assumed in the characterization above. In this paper we show that adaptive agents may not be as gullible as we used to think. In a model with adaptive expectations augmented with a Belief Correction term (which takes into account the drift of the macroeconomic variable of interest) the average forecasting error is frequently close to zero, hence (belief amended) adaptive expectations are close to unbiasedness.
- Language
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Englisch
- Bibliographic citation
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Series: CESifo Working Paper ; No. 9205
- Classification
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Wirtschaft
Computational Techniques; Simulation Modeling
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Expectations; Speculations
Macro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy‡
- Subject
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heterogeneous adaptive expectations
belief correction
agent based models
- Event
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Geistige Schöpfung
- (who)
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Palestrini, Antonio
Delli Gatti, Domenico
Gallegati, Mauro
Greenwald, Bruce C.
- Event
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Veröffentlichung
- (who)
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Center for Economic Studies and ifo Institute (CESifo)
- (where)
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Munich
- (when)
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2021
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Palestrini, Antonio
- Delli Gatti, Domenico
- Gallegati, Mauro
- Greenwald, Bruce C.
- Center for Economic Studies and ifo Institute (CESifo)
Time of origin
- 2021