Optimal Inflation Targeting Rules
Marc Giannoni () and
Michael Woodford ()
No 9939, NBER Working Papers from National Bureau of Economic Research, Inc
This paper characterizes optimal monetary policy for a range of alternative economic models in terms of a flexible inflation targeting rule, with a target criterion that depends on the model specification. It shows which forecast horizons should matter, and which variables besides inflation should be taken into account, for each specification. The likely quantitative significance of the various factors considered in the general discussion is then assessed by estimating a small, structural model of the U.S. monetary transmission mechanism with explicit optimizing foundations. An optimal policy rule is computed for the estimated model, and shown to correspond to a multi-stage inflation-forecast targeting procedure. The degree to which actual U.S. policy over the past two decades has conformed to the optimal target criteria is then considered.
JEL-codes: E52 E61 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dge, nep-mac and nep-mon
Note: EFG ME
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (107) Track citations by RSS feed
Published as Optimal Inflation-Targeting Rules , Marc Giannoni, Michael Woodford. in The Inflation-Targeting Debate , Bernanke and Woodford. 2005
Downloads: (external link)
Chapter: Optimal Inflation-Targeting Rules (2004)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:9939
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().