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

Published: 1 October 2020| Version 1 | DOI: 10.17632/8y5tvmd6fh.1
Contributor:
Evgeny Antipov

Description

 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.

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Institutions

  • Nacional'nyj issledovatel'skij universitet Vyssaa skola ekonomiki

Categories

Hospitality, Forecasting, Time Series, Hotel Management

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