Learning, inflation expectations and optimal monetary policy
Eric Schaling ()
Macroeconomics from University Library of Munich, Germany
Abstract:
In this paper we analyse disinflation policy in two environments. In the first, the central bank has perfect knowledge, in the sense that it understands and observes the process by which private sector inflation expectations are generated; in the second, the central bank has to learn the private sector inflation forecasting rule. With imperfect knowledge, results depend on the learning scheme that is employed. Here, the learning scheme we investigate is that of least-squares learning (recursive OLS) using the Kalman filter. A novel feature of a learning- based policy – as against the central bank’s disinflation policy under perfect knowledge – is that the degree of monetary accommodation (the extent to which the central bank accommodates private sector inflation expectations) is no longer constant across the disinflation, but becomes state-dependent. This means that the central bank’s behaviour changes during the disinflation as it collects more information.
Keywords: learning; rational expectations; separation principle; Kalman filter; time-varying parameters; optimal control (search for similar items in EconPapers)
JEL-codes: C53 E43 E52 F33 (search for similar items in EconPapers)
Date: 2004-04-29
New Economics Papers: this item is included in nep-mon
Note: Type of Document - pdf
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://econwpa.ub.uni-muenchen.de/econ-wp/mac/papers/0404/0404035.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpma:0404035
Access Statistics for this paper
More papers in Macroeconomics from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA ( this e-mail address is bad, please contact ).