IDEAS home Printed from https://ideas.repec.org/a/srs/jtpref/v10y2019i2p132-142.html
   My bibliography  Save this article

Predicting Disaggregated Tourist Arrivals In Sierra Leone Using Arima Model

Author

Listed:
  • Emerson JACKSON

    (Bank of Sierra Leone, Sierra Leone)

  • Edmund TAMUKE

    (Bank of Sierra Leone, Sierra Leone)

Abstract

This study has uniquely made use of Box-Jenkins ARIMA models to address the core of the three objectives set out in view of the focus to add meaningful value to knowledge exploration. The outcome of the research has testified the achievements of this through successful nine months out-of-sample forecasts produced from the program codes, with indicating best model choices from the empirical estimation. In addition, the results also provide description of risks produced from the uncertainty Fan Chart, which clearly provide possible downside and upside risks to tourist visitations in the country. In the conclusion, it was suggested that downside risks to the low-level tourist arrival can be managed through collaboration between authorities concerned with the management of tourism in the country.

Suggested Citation

  • Emerson JACKSON & Edmund TAMUKE, 2019. "Predicting Disaggregated Tourist Arrivals In Sierra Leone Using Arima Model," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 10(2), pages 132-142.
    • Handle: RePEc:srs:jtpref:v:10:y:2019:i:2:p:132-142
    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 & TAMUKE Edmund & JABBIE Mohamed, 2019. "Disaggregated Short-Term Inflation Forecast (Stif) For Monetary Policy Decision In Sierra Leone," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 71(3), pages 31-53, November.

    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:10:y:2019:i:2:p:132-142. 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.