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Residual Analysis for Auto-Correlated Econometric Model

Residual Analysis for Auto-Correlated Econometric Model
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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.
出处 《Open Journal of Statistics》 2019年第1期48-61,共14页 统计学期刊(英文)
关键词 ARIMA Model AUTOCORRELATION GDP RESIDUAL Analysis ARIMA Model Autocorrelation GDP Residual Analysis
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