Forecasting hotel occupancy rates with time series models: An empirical analysis

William P. Andrew, David A. Cranage, Chau Kwor Lee

Research output: Contribution to journalArticlepeer-review

50 Scopus citations


This study examines empirically the use of two time series models, Box-Jenkins and exponential smoothing, for forecasting hotel occupancy rates. The models are fitted and tested using actual monthly occupancy rates for a major center-city hotel. Both models show a high level of predictive accuracy. Since these models are relatively easy to implement, they should be very useful in actual hotel operations and other applications such as yield management.

Original languageEnglish (US)
Pages (from-to)173-182
Number of pages10
JournalJournal of Hospitality & Tourism Research
Issue number2
StatePublished - May 1990

All Science Journal Classification (ASJC) codes

  • Education
  • Tourism, Leisure and Hospitality Management


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