IDEAS home Printed from https://ideas.repec.org/a/srs/jtpref/v9y2018i1p63-74.html
   My bibliography  Save this article

Forecasting Inflation In Sierra Leone Using Arima And Arimax: A Comparative Evaluation. Model Building And Analysis Team

Author

Listed:
  • Edmund TAMUKE

    (Research Department, Bank of Sierra Leone)

  • Emerson JACKSON

    (Research Department, Bank of Sierra Leone)

  • Abdulai SILLAH

    (Research Department, Bank of Sierra Leone)

Abstract

The study has provided empirical investigation of both ARIMA and ARIMAX methodology as a way of providing forecast of Headline Consumer Price Index (HCPI) for Sierra Leone based on data collected from the Sierra Leone Statistical Office and the Bank of Sierra Leone. In this, the main research question of addressing outcomes from in and out-of-sample forecast were provided using the Static technique and this shows that both methodologies were proved to have tracked past and future occurrences of HCPI with minimal margin of error as indicated in the MAPE results. In a similar note, the key objective of identifying whether the ARIMAX methodology or the ARIMA methodology is a better predictor of forecasting future trends in HCPI. However, on the whole, both ARIMA and ARIMAX seem to have provided very good outcome in predicting future events of HCPI, particularly when Static technique is used as the option for forecasting outcomes, with the ARIMAX marginally coming out as the preferred choice on the basis of its evaluation outcomes.

Suggested Citation

  • Edmund TAMUKE & Emerson JACKSON & Abdulai SILLAH, 2018. "Forecasting Inflation In Sierra Leone Using Arima And Arimax: A Comparative Evaluation. Model Building And Analysis Team," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 9(1), pages 63-74.
    • Handle: RePEc:srs:jtpref:v:9:y:2018:i:1:p:63-74
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Jackson Emerson Abraham, 2017. "Theoretical and Methodological Context of (Post)-Modern Econometrics and Competing Philosophical Discourses for Policy Prescription," Journal of Heterodox Economics, Sciendo, vol. 4(2), pages 119-129, December.
    2. Jackson, Emerson Abraham & Tamuke, Edmund, 2019. "Predicting disaggregated tourist arrivals in Sierra Leone using ARIMA model," MPRA Paper 96845, University Library of Munich, Germany, revised 23 Dec 2019.
    3. Emerson Abraham JACKSON & Mohamed JABBİE & Edmund TAMUKE & Augustine NGOMBU, 2020. "Adoption of Inflation Targeting in Sierra Leone: An Empirical Discourse," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 7(2), pages 21-50, July.
    4. Jackson, Emerson Abraham & Tamuke, Edmund, 2018. "Probability Forecast Using Fan Chart Analysis: A case of the Sierra Leone Economy," MPRA Paper 88853, University Library of Munich, Germany, revised 04 Sep 2018.
    5. Jackson, Emerson Abraham, 2020. "Importance of the Public Service in Achieving the UN SDGs," MPRA Paper 101806, University Library of Munich, Germany, revised 02 Jun 2020.
    6. Jackson, Emerson Abraham & Tamuke, Edmund & Jabbie, Mohamed, 2019. "Disaggregated Short-Term Inflation Forecast (STIF) for Monetary Policy Decision in Sierra Leone," MPRA Paper 96735, University Library of Munich, Germany, revised 26 Nov 2019.

    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:srs:jtpref:v:9:y:2018:i:1:p:63-74. 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: Claudiu Popirlan (email available below). General contact details of provider: http://journals.aserspublishing.eu/tpref .

    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.