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Individual Expectations and Aggregate Behavior in Learning to Forcast Experiments

Cars Hommes and Thomas Lux

No 09-03, CeNDEF Working Papers from Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance

Abstract: 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.

Date: 2009
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Citations: View citations in EconPapers (6)

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Related works:
Journal Article: INDIVIDUAL EXPECTATIONS AND AGGREGATE BEHAVIOR IN LEARNING-TO-FORECAST EXPERIMENTS (2013) Downloads
Working Paper: Individual expectations and aggregate behavior in learning to forecast experiments (2008) Downloads
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