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Okyere, F., Mahama, F., Yemidi, S. and Krampa, E. (2015) An Econometric Model for Inflation Rates in the Volta Region of Ghana. IOSR Journal of Economics and Finance, 6, 48-55.
has been cited by the following article:
TITLE: Residual Analysis for Auto-Correlated Econometric Model
AUTHORS: Habib Ahmed Elsayir
KEYWORDS: ARIMA Model, Autocorrelation, GDP, Residual Analysis
JOURNAL NAME: Open Journal of Statistics, Vol.9 No.1, January 25, 2019
ABSTRACT: The aim of this article is to provide residual analysis for a time series data of Gross Domestic Product (GDP) of the Sudan. An econometric time series model with macroeconomic variables is conducted to examine the goodness of fit using residual. Many statistical tests are used in time series models in order to make it a stationary series. After applying these tests, the time series became stationary and integrated; thus, Box-Jenkins procedure is used for the determination of ARIMA, AR (0,1,0) in this study. This identified technique is useful for analyzing this study.
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