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.