IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2023-070.html
   My bibliography  Save this paper

Peering Through the Fog of Uncertainty: Out-of-Sample Forecasts of Post-Pandemic Tourism

Author

Listed:
  • Mr. Serhan Cevik

Abstract

This paper uses an augmented gravity model framework to investigate the historical impact of infectious diseases on international tourism and develops an out-of-sample prediction model. Using bilateral tourism flows among 38,184 pairs of countries during the period 1995–2017, I compare the forecasting performance of alternative specifications and estimation methods. These computations confirm the statistical and economic significance of infectious-disease episodes in forecasting international tourism flows. Including infectious diseases in the model improves forecast accuracy by an average of 4.5 percent and as much as 7 percent relative to the standard gravity model. The magnitude of these effects, however, is likely to be much greater in the case of COVID-19, which is a highly contagious virus that has spread fast throughout populations across the world.

Suggested Citation

  • Mr. Serhan Cevik, 2023. "Peering Through the Fog of Uncertainty: Out-of-Sample Forecasts of Post-Pandemic Tourism," IMF Working Papers 2023/070, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2023/070
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=531107
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Infectious diseases; tourism flows; gravity model; predictability; out-of-sample forecasting; out-of-sample prediction model; forecasting performance; tourism flow; infectious-disease episode; Tourism; Gravity models; Communicable diseases;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F10 - International Economics - - Trade - - - General
    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:imf:imfwpa:2023/070. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    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.