Time-Varying Parameters and Endogenous Learning Algorithms
AbstractThe adaptive learning has primarily focused on decreasing gain learning and constant gain learning. As pointed out theoretically by Marcet and Nicolini (2003) and empirically by Milani (2007) an endogenous learning mechanism may explain key economic behaviors, such as recurrent hyperinflation or time varying volatility. This paper evaluates the mechanism used in those papers in addition to proposing an alternative endogenous learning algorithm. The proposed algorithm outperforms the Marcet and Nicolini's algorithm in simulations and may result in exotic dynamics.
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Bibliographic InfoPaper provided by Ursinus College, Department of Economics in its series Working Papers with number 13-02.
Date of creation: 01 Mar 2013
Date of revision:
Learning; Rational Expectations; Endogenous Learning;
Find related papers by JEL classification:
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-24 (All new papers)
- NEP-CMP-2013-06-24 (Computational Economics)
- NEP-MAC-2013-06-24 (Macroeconomics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Eric Gaus).
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