Working Paper
Individual Expectations and Aggregate Behavior in Learning to Forecast Experiments
Kiel Working Papers, 1466
Authors
Publication Date
JEL Classification
C91
C92
D83
D84
E3
Key Words
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.
