Munich Personal RePEc Archive

Modeling and forecasting inflation in Burundi using ARIMA models

NYONI, THABANI (2019): Modeling and forecasting inflation in Burundi using ARIMA models.

[thumbnail of MPRA_paper_92444.pdf] PDF

Download (213kB)


This research uses annual time series data on inflation rates in Burundi from 1966 to 2017, to model and forecast inflation using ARIMA models. Diagnostic tests indicate that B is I(1). The study presents the ARIMA (0, 1, 1). The diagnostic tests further imply that the presented optimal ARIMA (0, 1, 1) model is stable and acceptable for predicting inflation in Burundi. The results of the study apparently show that B will be approximately 9.4% by 2020. Policy makers, particulary, monetary authorities in Burundi are expected to tighten Burundi’s monetary policy in order to restore price stability.

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.