Residual Analysis for Auto-Correlated Econometric Model
Habib Ahmed Elsayir1 Show affiliations
- Umm Al Qura University, Saudi Arabia
Journal of Mathematics and Statistics, Volume 15, Issue 1, pp. 99–111 · doi.org/10.3844/jmssp.2019.99.111
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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Elsayir, H. A. (2019). Residual Analysis for Auto-Correlated Econometric Model. Journal of Mathematics and Statistics, 15(1), 99–111. https://doi.org/10.3844/jmssp.2019.99.111
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