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Autoren: 
Okoroafor, David O. K.
Adeniji, Sesan O.
Olasehinde, Timilehin
Datum: 
2018
Quellenangabe: 
[Journal:] CBN Journal of Applied Statistics [ISSN:] 2476-8472 [Volume:] 9 [Year:] 2018 [Issue:] 1 [Pages:] 1-22
Zusammenfassung: 
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, Au- toregressive Distributed Lag (ARDL), Autoregressive Integrated Moving Av- erage (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 formula- tion 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.
Schlagwörter: 
ARDL
ARIMA
Economic Growth
Forecasting
Inflation Threshold VAR
JEL: 
E31
C53
E52
040
Dokumentart: 
Article
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