IDEAS home Printed from https://ideas.repec.org/a/ris/statec/0063.html
   My bibliography  Save this article

Using the ARDL bound testing approach to study the inflation rate in Egypt

Author

Listed:
  • Reda Abonazel, Mohamed

    (Cairo University)

  • Elnabawy, Nourhan

    (Cairo University)

Abstract

According to economic theory, the change in any economic variables may affect another economic variable through the time and these changes are not instantaneously, but also over future periods. The Autoregressive distributed lag (ARDL) model has been used for decades to study the relationship between variables using a single equation time series. The ARDL model is one of the most general dynamic unrestricted models in econometric literature. In this model, the dependent variable is expressed by the lag and current values of independent variables and its own lag value. The paper studies the dynamic causal relationships between inflation rate, foreign exchange rate, money supply, and gross domestic product (GDP) in Egypt during the period 2005: Q1 to 2018: Q2. Using the bounds testing approach to cointegration and error correction model, developed within an ARDL model, we investigate whether a long-run equilibrium relationship exists between the inflation rate and three determinants (foreign exchange rate, money supply, and GDP). The results indicate that the exchange rate and the growth in money supply have significant effects on the inflation rate in Egypt, while the real GDP has no significance effect on the inflation rate

Suggested Citation

  • Reda Abonazel, Mohamed & Elnabawy, Nourhan, 2020. "Using the ARDL bound testing approach to study the inflation rate in Egypt," Economic Consultant, Roman I. Ostapenko, vol. 31(3), pages 24-41.
  • Handle: RePEc:ris:statec:0063
    as

    Download full text from publisher

    File URL: https://statecounsellor.files.wordpress.com/2020/08/200302-1.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Souhir Elhmedi & Niazi Kammoun, 2024. "Capital account liberalization and economic growth in Tunisia," SN Business & Economics, Springer, vol. 4(6), pages 1-21, June.
    2. Moumita Paul & Kalluru Siva Reddy, 2022. "US QE and the Indian Bond Market," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 137-157, March.
    3. Amadou Jawo & Mohammed Jebou & Lamin Fatou Bayo, 2023. "The Relationship between Inflation, Exchange Rate, Money Supply and Economic Growth in The Gambia," Technium Social Sciences Journal, Technium Science, vol. 40(1), pages 213-222, February.
    4. Nunoo, Jacob & Abango, Mohammed A & Abreh, Might Kojo, 2023. "Interrogating the drivers of budget credibility dynamics in Ghana’s education sector through the lens of unmitigated spending credibility crisis discourses," SocArXiv ne3cr, Center for Open Science.

    More about this item

    Keywords

    ARDL cointegration; economic growth; error correction model; exchange rate; dynamic causal relationship; money supply;
    All these keywords.

    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration

    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:ris:statec:0063. 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: Roman I. Ostapenko (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.