{"id":1687,"date":"2021-07-09T14:31:21","date_gmt":"2021-07-09T14:31:21","guid":{"rendered":"http:\/\/kourentzes.com\/forecasting\/?p=1687"},"modified":"2021-07-09T14:31:21","modified_gmt":"2021-07-09T14:31:21","slug":"visitor-arrivals-forecasts-amid-covid-19-a-perspective-from-the-africa-team","status":"publish","type":"post","link":"https:\/\/kourentzes.com\/forecasting\/2021\/07\/09\/visitor-arrivals-forecasts-amid-covid-19-a-perspective-from-the-africa-team\/","title":{"rendered":"Visitor Arrivals Forecasts amid COVID-19: A Perspective from the Africa Team"},"content":{"rendered":"<p>Nikolaos Kourentzes, Andrea Saayman, Philippe Jean-Pierre, Davide Provenzano, Mondher Sahli, Neelu Seetaram, and Serena Volo, 2021, <i>Annals of Tourism Research<\/i> 88: 103197.<\/p>\n<p>COVID-19 disrupted international tourism worldwide, subsequently presenting forecasters with a challenging conundrum. In this competition, we predict international arrivals for 20 destinations in two phases: (i) Ex post forecasts pre-COVID; (ii) Ex ante forecasts during and after the pandemic up to end 2021. Our results show that univariate combined with cross-sectional hierarchical forecasting techniques (THieF-ETS) outperform multivariate models pre-COVID. Scenarios were developed based on judgemental adjustment of the THieF-ETS baseline forecasts. Analysts provided a regional view on the most likely path to normal, based on country-specific regulations, macroeconomic conditions, seasonal factors and vaccine development. Results show an average recovery of 58% compared to 2019 tourist arrivals in the 20 destinations under the medium scenario; severe, it is 34% and mild, 80%.<\/p>\n<p>Download <a href=\"http:\/\/kourentzes.com\/forecasting\/wp-content\/uploads\/2021\/07\/Kourentzes-2021-Visitor_arrivals_forecasts_amid_COVID_19__A_perspective_from_the_Africa_Team.pdf\">paper<\/a>.<\/p>\n<div class=\"SPOSTARBUST-Related-Posts\"><H3>Related Posts<\/H3><ul class=\"entry-meta\"><li class=\"SPOSTARBUST-Related-Post\"><a title=\"Stochastic Coherency in Forecast Reconciliation\" href=\"https:\/\/kourentzes.com\/forecasting\/2021\/07\/09\/stochastic-coherency-in-forecast-reconciliation\/\" rel=\"bookmark\">Stochastic Coherency in Forecast Reconciliation<\/a><\/li>\n<li class=\"SPOSTARBUST-Related-Post\"><a title=\"ISF 2020: A geometry inspired hierarchical forecasting methodology\" href=\"https:\/\/kourentzes.com\/forecasting\/2020\/10\/25\/isf-2020-using-information-from-the-business-environment-to-improve-forecasting\/\" rel=\"bookmark\">ISF 2020: A geometry inspired hierarchical forecasting methodology<\/a><\/li>\n<li class=\"SPOSTARBUST-Related-Post\"><a title=\"Special issue on innovations in hierarchical forecasting\" href=\"https:\/\/kourentzes.com\/forecasting\/2020\/10\/25\/special-issue-on-innovations-in-hierarchical-forecasting\/\" rel=\"bookmark\">Special issue on innovations in hierarchical forecasting<\/a><\/li>\n<\/ul><\/div><!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>Nikolaos Kourentzes, Andrea Saayman, Philippe Jean-Pierre, Davide Provenzano, Mondher Sahli, Neelu Seetaram, and Serena Volo, 2021, Annals of Tourism Research 88: 103197.<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,8],"tags":[67,44,68],"_links":{"self":[{"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/posts\/1687"}],"collection":[{"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/comments?post=1687"}],"version-history":[{"count":1,"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/posts\/1687\/revisions"}],"predecessor-version":[{"id":1689,"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/posts\/1687\/revisions\/1689"}],"wp:attachment":[{"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/media?parent=1687"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/categories?post=1687"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kourentzes.com\/forecasting\/wp-json\/wp\/v2\/tags?post=1687"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<!-- WP Super Cache is installed but broken. The constant WPCACHEHOME must be set in the file wp-config.php and point at the WP Super Cache plugin directory. -->