Recent models of monetary policy and monetary rules can have indeterminacy of equilibria. The indeterminacy property is often viewed as a difficulty of these models. We consider its significance using the learning approach to expectations formation by employing expectational stability as a robustness criterion for different equilibria.
Download Info
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page
whether it is in fact available.
3. Perform a search for a similarly titled item that would be
available.
Length: 41 pages Date of creation: 2001 Date of revision: Handle: RePEc:fth:helsec:501
Contact details of provider: Postal: University of Helsinki; Department of Economics, P.O.Box 54 (Unioninkatu 37) FIN-00014 Helsingin Yliopisto Phone: +358 9 191 8897 Fax: +358 9 191 8877 Email: Web page: http://www.valt.helsinki.fi/katal/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Thomas Krichel).
Find related papers by JEL classification: E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
References listed on IDEAS 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.:
Cited by: (explanations, 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.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.
Did you know? You can include your works in the database easily by uploading them on the Munich Personal RePEc Archive (MPRA) if you do not have access to an institutional RePEc archive.