Learning in Economic Systems with Expectations Feedback

Recently economists have more and more focussed on scenarios in which agents' views of the world may be erroneous. These notes introduce the concept of perfect forecasting rules which provide best least-squares predictions along the evolution of an economic system. The framework for nonparametr...

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Bibliographic Details
Main Author: Wenzelburger, Jan (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Series:Lecture Notes in Economics and Mathematical Systems, 555
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:Recently economists have more and more focussed on scenarios in which agents' views of the world may be erroneous. These notes introduce the concept of perfect forecasting rules which provide best least-squares predictions along the evolution of an economic system. The framework for nonparametric adaptive learning schemes is developed and it is argued that plausible learning schemes should aim at estimating a perfect forecasting rule taking into account the correct feedback structure of an economy. A link is provided between the traditional rational-expectations view and recent behavioristic approaches.
Physical Description:X, 176 p. 4 illus. online resource.
ISBN:9783540380504
ISSN:0075-8442 ;