Munich Personal RePEc Archive

Inflation dynamics in Niger unlocked: An ARMA approach

NYONI, THABANI (2019): Inflation dynamics in Niger unlocked: An ARMA approach.

[thumbnail of MPRA_paper_92450.pdf] PDF

Download (217kB)


This research uses annual time series data on inflation rates in Niger from 1964 to 2017, to model and forecast inflation using ARMA models. Diagnostic tests indicate that N is I(0). The study presents the ARMA (1, 0, 0) model, which is simply an AR (1) model. The diagnostic tests further imply that the presented optimal ARMA (1, 0, 0) model is stable. The results of the study apparently show that N will be approximately 4.3% by 2020. Policy makers and the business community in Niger are expected to take advantage of the anticipated stable inflation rates over the next decade.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.