Insight into Inflation: Persistence, Variability and Predictability
Authors
Ning Zeng
Corresponding Author
Ning Zeng
Available Online May 2018.
- DOI
- 10.2991/icmesd-18.2018.158How to use a DOI?
- Keywords
- Inflation, Persistence, Variability, Predictability.
- Abstract
This paper provides a macroeconomic analysis of US inflation and its persistence from 1947 to 2007 and three subperiods. An ARFIMA-GARCH model is estimated to capture the stylized facts of inflation dynamics and investigate the causalities between persistence and the level of aggregate inflation, and persistence and inflation uncertainty, as well as predictability of inflation and its volatility. The main findings point to a rather low inflation persistence, a time-varying persistence positively correlated with inflation reflecting monetary policy switches and a moderate predictability of inflation and its volatility.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ning Zeng PY - 2018/05 DA - 2018/05 TI - Insight into Inflation: Persistence, Variability and Predictability BT - Proceedings of the 4th Annual International Conference on Management, Economics and Social Development (ICMESD 2018) PB - Atlantis Press SP - 923 EP - 929 SN - 2352-5428 UR - https://doi.org/10.2991/icmesd-18.2018.158 DO - 10.2991/icmesd-18.2018.158 ID - Zeng2018/05 ER -