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        A Macroeconometric Model for Saudi Arabia

        A Case Study on the World’s Largest Oil Exporter

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        Author(s)
        Hasanov, Fakhri J.
        Joutz, Frederick L.
        Mikayilov, Jeyhun I.
        Javid, Muhammad
        Language
        English
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        Abstract
        This Open Access Brief presents the KAPSARC Global Energy Macroeconometric Model (KGEMM). KGEMM is a policy analysis tool for examining the impacts of domestic policy measures and global economic and energy shocks on the Kingdom of Saudi Arabia. The model has eight blocks (real sector, fiscal, monetary, external sector, price, labor and wages, energy, population, and age cohorts) that interact with each other to represent the Kingdom’s macroeconomy and energy linkages. It captures New Keynesian demand-side features anchored to medium-run equilibrium and long-run aggregate supply. It applies a cointegration and equilibrium correction modeling (ECM) methodology to time series data to estimate the model’s behavioral equations in the framework of Autometrics, a general-to-specific econometric modeling strategy. Hence, the model combines ‘theory-driven’ approach with ‘data-driven’ approach. The Brief begins with an introduction to the theoretical framework of the model and the KGEMM methodology and then walks the reader through the structure of the model and its behavioral equations. The book closes with simulations showing the application of the model. Providing a detailed introduction to a cutting-edge, robust predictive model, this Brief will be of great use to researchers and policymakers interested in macroeconomics, energy economics, econometrics, and more specifically, the economy of Saudi Arabia.
        URI
        https://library.oapen.org/handle/20.500.12657/60812
        Keywords
        Saudi Arabia; Macroeconometric model; Equilibrium correction modeling; Autometrics; General-to-specific modeling strategy; Energy price reform; Saudi Vision 2030
        DOI
        10.1007/978-3-031-12275-0
        ISBN
        9783031122750, 9783031122750
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2023
        Imprint
        Springer International Publishing
        Series
        SpringerBriefs in Economics,
        Classification
        Econometrics and economic statistics
        Macroeconomics
        Environmental economics
        Energy technology and engineering
        Pages
        169
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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