Time series analysis of COVID-19’s impact on the European’s hospitality industry: estimates based on accommodation statistics from 18 countries

 Prophet was shown to be a competitive algorithm for bulk forecasting of tourism statistics  Baseline forecasts of nights spent at accommodation establishments were obtained  Losses for each country and hospitality segment were estimated and meta-analyzed  The most impacted group of countries is Italy, Belgium, Slovenia, Spain, and Croatia,  The least impacted group of countries is Sweden, Latvia, and Finland.

Identifier
DOI https://doi.org/10.17632/8y5tvmd6fh.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-ou-77s0
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:186467
Provenance
Creator Antipov, E
Publisher Data Archiving and Networked Services (DANS)
Contributor Evgeny Antipov
Publication Year 2020
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other