Is forecasting inflation easier under inflation targeting?
Harun Ozkan () and
Ege Yazgan ()
Empirical Economics, 2015, vol. 48, issue 2, 609-626
Abstract:
This paper investigates whether monetary-policy regime changes affect the success of forecasting inflation. The forecasting performances of some linear and nonlinear univariate models are analyzed for 14 different countries that have adopted inflation-targeting (IT) monetary regimes at some point in their economic history. The results show that forecasting performance is generally superior under an IT monetary regime compared to nonIT (NIT) periods. In more than half of the countries covered in this study, superior forecasting accuracy can be achieved in IT periods regardless of the model used. In contrast, among most of the remaining countries, the results remain ambiguous, and the evidence on the superiority of NIT is limited to very few countries. Copyright Springer-Verlag Berlin Heidelberg 2015
Keywords: Inflation targeting; Forecasting inflation; Forecast accuracy; C45; C53; E31; E37; E42; E47; E52; E61; E65 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00181-013-0793-3 (text/html)
Access to full text is restricted to subscribers.
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:spr:empeco:v:48:y:2015:i:2:p:609-626
Ordering information: This journal article can be ordered from
http://www.springer. ... rics/journal/181/PS2
DOI: 10.1007/s00181-013-0793-3
Access Statistics for this article
Empirical Economics is currently edited by Robert M. Kunst, Arthur H.O. van Soest, Bertrand Candelon, Subal C. Kumbhakar and Joakim Westerlund
More articles in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().