Arbeitspapier
Individual expectations and aggregate behavior in learning to forecast experiments
Models with heterogeneous interacting agents explain macro phenomena through interactions at the micro level. We propose genetic algorithms as a model for individual expectations to explain aggregate market phenomena. The model explains all stylized facts observed in aggregate price fluctuations and individual forecasting behaviour in recent learning to forecast laboratory experiments with human subjects (Hommes et al. 2007), simultaneously and across different treatments.
- Sprache
-
Englisch
- Erschienen in
-
Series: Kiel Working Paper ; No. 1466
- Klassifikation
-
Wirtschaft
Design of Experiments: Laboratory, Individual
Design of Experiments: Laboratory, Group Behavior
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Expectations; Speculations
- Thema
-
Learning
heterogeneous expectations
genetic algorithms
experimental economics
Erwartungstheorie
Lernprozess
Test
Genetischer Algorithmus
Theorie
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Hommes, Cars
Lux, Thomas
- Ereignis
-
Veröffentlichung
- (wer)
-
Kiel Institute for the World Economy (IfW)
- (wo)
-
Kiel
- (wann)
-
2008
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Hommes, Cars
- Lux, Thomas
- Kiel Institute for the World Economy (IfW)
Entstanden
- 2008
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