Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/94760
Authors: 
Lindh, Thomas
Year of Publication: 
1989
Series/Report no.: 
IUI Working Paper 238
Abstract: 
This paper reviews a growing literature investigating how economic agents may learn rational expectations. Fully rational learning requires implausible initial information assumptions, therefore some form of bounded rationality has come into focus. Such learning models often converge to rational expectations equilibria within certain bounds. Convergence analysis has been much simplified by methods from adaptive control theory. Learning stability as a correspondence principle show some promise in common macro models. A new selection problem arises since differences in initial information and learning methods give rise to many different equilibria, making economic modelling sensitive to assumptions on information and information processing.
Subjects: 
Rational learning
bounded rationality
selection problems
information
JEL: 
D83
Document Type: 
Working Paper

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