IDEAS home Printed from https://ideas.repec.org/a/tec/busine/ojs12519.html

Application of the Neoclassical Model to the Saudi Economy

Author

Listed:
  • Khalafalla Ahmed Mohamed Arabi

    (College of Business, King Khalid University)

Abstract

This article uses real GDP growth statistics to investigate the determinants of real business cycles in the Saudi economy from 1970 to 2019. To find the origins of the business cycles, we used Stata 17 and the King and Rebelo model, which was published in 1999 and had six equations. We utilized Strata's "sbbq" module to detect the turning points. We computed the model parameters using Bayesian dynamic stochastic general equilibrium. The results revealed six turning points, divided into three peaks and three troughs. Furthermore, the findings show that our estimates nearly match those of King and Rebelo. According to theory, productivity shock is the most important element influencing behavior.

Suggested Citation

  • Khalafalla Ahmed Mohamed Arabi, 2025. "Application of the Neoclassical Model to the Saudi Economy," Technium Business and Management, Technium Science, vol. 11, pages 78-87, February.
  • Handle: RePEc:tec:busine:ojs:12519
    DOI: 10.47577/business.v11i.12519
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/business/article/view/12519
    Download Restriction: no

    File URL: https://libkey.io/10.47577/business.v11i.12519?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tec:busine:ojs:12519. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anna Maria Golita (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.