About this book
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.
- Book Title Learning in Economic Systems with Expectations Feedback
- Series Title Lecture Notes in Economics and Mathematical Systems
- DOI https://doi.org/10.1007/978-3-540-38050-4
- Copyright Information Springer-Verlag Berlin Heidelberg 2006
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Business and Economics Economics and Finance (R0)
- Softcover ISBN 978-3-540-24322-9
- eBook ISBN 978-3-540-38050-4
- Series ISSN 0075-8442
- Edition Number 1
- Number of Pages X, 176
- Number of Illustrations 4 b/w illustrations, 0 illustrations in colour
Economic Theory/Quantitative Economics/Mathematical Methods
Macroeconomics/Monetary Economics//Financial Economics
- Buy this book on publisher's site