Residual Analysis for Auto-Correlated Econometric Model  

作　　者：Habib Ahmed Elsayir 

机构地区：[1]Department of Mathematics, Al Qunfudha University College, Umm Al Qura University, Al Qunfudha, KSA

出　　处：《Open Journal of Statistics》2019年第1期48-61,共14页统计学期刊（英文）

摘　　要：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.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.

关 键 词：ARIMA Model AUTOCORRELATION GDP RESIDUAL Analysis 

分 类 号：R73[医药卫生—肿瘤]