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Residual Analysis for Auto-Correlated Econometric Model

机译:自相关计量经济学模型的残差分析

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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.
机译:本文的目的是为苏丹的国内生产总值(GDP)的时间序列数据提供残差分析。进行了具有宏观经济变量的计量经济学时间序列模型,以检验使用残差的拟合优度。时间序列模型中使用了许多统计检验,以使其成为平稳序列。应用这些测试后,时间序列变得固定并积分。因此,本研究使用Box-Jenkins程序测定ARIMA,AR(0,1,0)。这种确定的技术对于分析这项研究很有用。

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