The evolution of inflation expectations in Japan

Masazumi Hattori and James Yetman

Journal of the Japanese and International Economies, 2017, vol. 46, issue C, 53-68

Abstract: We model inflation forecasts as monotonically diverging from an estimated long-run anchor point towards actual inflation as the forecast horizon shortens. Fitting the model with forecasts made by individual professional forecasters for Japan, we find that the estimated anchors across forecasters have tended to rise in recent years, along with the dispersion in estimates across forecasters. Further, the degree to which these anchors pin down inflation expectations at longer horizons has increased, but remains considerably lower than found in a similar study of Canadian and US forecasters. Finally, the wide dispersion in estimated decay paths across forecasters points to a diverse set of views across forecasters about the inflation process in Japan.

Keywords: Inflation expectations; Decay function; Inflation targeting; Deflation (search for similar items in EconPapers)
JEL-codes: E31 E58 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0889158317300497
Full text for ScienceDirect subscribers only

Related works:
Working Paper: The evolution of inflation expectations in Japan (2017)
Working Paper: The evolution of inflation expectations in Japan (2017)
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:eee:jjieco:v:46:y:2017:i:c:p:53-68

DOI: 10.1016/j.jjie.2017.09.001

Access Statistics for this article

Journal of the Japanese and International Economies is currently edited by Takeo Hoshi

More articles in Journal of the Japanese and International Economies from Elsevier
Bibliographic data for series maintained by Catherine Liu ().