Forecasting Tourism Demand in the post-COVID-19: A Time-Varying Perspective

Ying Liu, Long Wen, Han Liu, Haiyan Song

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic research

Original languageEnglish
Publication statusNot published / presented only - Jul 2022
EventThe 42nd International Symposium on Forecasting in Oxford, UK, 10-13 July 2022 - Examination Schools, University of Oxford, Oxford, United Kingdom
Duration: 10 Jul 202213 Jul 2022
https://imstat.org/meetings-calendar/42nd-international-symposium-on-forecasting/

Forum/Symposium

Forum/SymposiumThe 42nd International Symposium on Forecasting in Oxford, UK, 10-13 July 2022
Abbreviated titleISF 2022
Country/TerritoryUnited Kingdom
CityOxford
Period10/07/2213/07/22
Internet address

Keywords

  • tourism recovery
  • nowcasting
  • time-varying
  • mixed-frequency
  • COVID-19

Cite this