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CBN Journal of Applied Statistics (JAS)

Keywords

ARDL, ARIMA, Economic Growth, Forecasting, Inflation Threshold VAR

Abstract

This study examined the causal relationship between inflation and economic growth as well as estimating threshold and forecasting of inflation in Nigeria for the period of 1961 – 2016. The study employed Granger causality test, Autoregressive Distributed Lag (ARDL), Autoregressive Integrated Moving Average (ARIMA) and a multivariate time series Vector Autoregressive (VAR) models. Granger causality test result showed that inflation does not granger cause economic growth and neither does economic growth granger cause inflation during the period of study. Using broad money supply to GDP as control variable, an inflation threshold of 14% -15% both in the short run and long run was established for Nigeria. As for the forecasting of inflation, the findings showed that VAR (1) could forecast inflation rate in Nigeria with high degree of accuracy. Hence, this result is vital for monetary policy formulation and need to be taken into consideration as a complement to the approach currently employed by the Central Bank of Nigeria in the targeting of a single digit inflation rate.

Author Bio

The authors are from:

1. Corresponding author: Department of Economics, University of Abuja, Nigeria;

2. Department of Economics, University of Abuja, Nigeria;

3. Department of Economics, Ekiti State University, Ekiti State Nigeria.

Publication Title

CBN Journal of Applied Statistics

Issue

1

Volume

9

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