Youssef, Jamile and Ishker, Nermeen and Fakhreddine, Nour (2021): GDP Forecast of the Biggest GCC Economies Using ARIMA.
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Abstract
Gulf Cooperation Council (GCC) members are considered one of the fastest growing economies. This paper aims to empirically forecast the economic activity of the vastest GCC countries: Qatar, Saudi Arabia, and the United Arab Emirates. An Auto-Regressive Moving Average (ARIMA) model for the three countries Gross Domestic Product is obtained using the Box-Jenkins methodology during the 1980 - 2020 period. The appropriate models for the three economies are of ARIMA (0,2,1), the forecasts are at a 95% confidence level and predicts a growth in the three countries for the upcoming five years.
Item Type: | MPRA Paper |
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Original Title: | GDP Forecast of the Biggest GCC Economies Using ARIMA |
Language: | English |
Keywords: | ARIMA Model; GDP; forecasting; GCC |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O53 - Asia including Middle East |
Item ID: | 108912 |
Depositing User: | Ms. Jamile Youssef |
Date Deposited: | 30 Jul 2021 13:22 |
Last Modified: | 30 Jul 2021 13:22 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/108912 |