Anchoring Heuristic Messes with Inflation Targeting
Evelin Da Silva and
Sergio Da Silva
MPRA Paper from University Library of Munich, Germany
Abstract:
We evaluate recent inflation-targeting using Brazilian data and also consider the framework of the macroeconomic model of adaptive learning blended with a cognitive psychology approach. We suggest that forecasters interpret the inflation target as an anchor, and adjust to it accordingly. As current inflation increases above the target level, a central bank loses credibility, and forecasters start the adjustment from the top because they expect an even higher future inflation. Then, they move back to the core target within a range of uncertainty, but the adjustment is likely to end before the core is reached, as predicted by the psychological theory of anchors. After calibrating the model, we find an asymptotic equilibrium of a 6.1 percent inflation rate, which overshoots the announced target inflation core of 4.5 percent. This example casts doubt on the very justification for inflation targeting, which is unlikely to succeed when private forecasters rely on anchoring heuristics.
Keywords: Anchoring Heuristic; Inflation Targeting; Adaptive Learning (search for similar items in EconPapers)
JEL-codes: D03 (search for similar items in EconPapers)
Date: 2015
New Economics Papers: this item is included in nep-cba and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/64495/1/MPRA_paper_64495.pdf original version (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:pra:mprapa:64495
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().