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 language||English (US)|
|Number of pages||10|
|Journal||Journal of Hospitality & Tourism Research|
|State||Published - May 1990|
All Science Journal Classification (ASJC) codes
- Tourism, Leisure and Hospitality Management