Forecating Inflation in Togo using an Autoregressive Model

This paper proposes an inflation forecasting model for Togo through a simple autoregressive (AR) model. Using data on inflation measured by the annual percentage change in the consumer price index (CPI), ranging from 1967 to 2019, we find that a simple AR(1)model can help forecasting inflation in Togo

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Year of publication:	2022
Authors:	Tchakondo, Yorou
Publisher:	[S.l.] : SSRN
Subject:	Inflation \| Togo \| Theorie \| Theory \| Autokorrelation \| Autocorrelation

Extent:	1 Online-Ressource (6 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 9, 2022 erstellt
Other identifiers:	10.2139/ssrn.4214913 [DOI]
Classification:	C22 - Time-Series Models ; C53 - Forecasting and Other Model Applications ; E31 - Price Level; Inflation; Deflation ; E58 - Central Banks and Their Policies
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014077206