This study tests the accuracy of disaggregating tourism time series by focusing upon the main regions of entry to the USA, using international arrivals data. Forecasts are run using the Basic Structural on monthly data. Accuracy of the arrival forecasts is measured for each region, and comparison is made of the forecast growth rates regional and nationally to compare the relative accuracy of different levels of aggregation. Forecasts of international arrivals are also made into the future for 2010-2015 for both the USA as a whole and for each of the main regions. These forecasts will provide interesting USA regional forecasts for the first time
Although numerous studies have focused on forecasting international tourism demand, minimal light ha...
This study examines the potential advantages of using Singular Spectrum Analysis (SSA) for forecasti...
This study evaluates the forecasting accuracy of five alternative econometric models in the context ...
Considerable research has been done on comparative research models for forecasting tourist arrivals ...
We evaluate the performances of various methods for forecasting tourism data. The data used include ...
ii Considerable research has been done on comparative research models for forecasting tourist arriva...
This article focuses on nine city-based regions in Thailand, using accommodation data from 1996 to 2...
This study makes use of specific econometric modelling methodologies to forecast US outbound travell...
The ability of various econometric and univariate time-series models to generate accurate forecasts ...
This study develops models to forecast international arrivals to regional China, using time series a...
Previous research in the area of tourism demand modeling and forecasting has paid little attention t...
Total tourist arrivals are the sum of disaggregate subcomponent arrivals by country of origin. We us...
Tourism in too many areas has been increasing for decades because of development in communications, ...
Numerous studies on tourism forecasting have now been published over the past five decades. However,...
This study investigates whether tourism forecasting accuracy is improved by incorporating spatial de...
Although numerous studies have focused on forecasting international tourism demand, minimal light ha...
This study examines the potential advantages of using Singular Spectrum Analysis (SSA) for forecasti...
This study evaluates the forecasting accuracy of five alternative econometric models in the context ...
Considerable research has been done on comparative research models for forecasting tourist arrivals ...
We evaluate the performances of various methods for forecasting tourism data. The data used include ...
ii Considerable research has been done on comparative research models for forecasting tourist arriva...
This article focuses on nine city-based regions in Thailand, using accommodation data from 1996 to 2...
This study makes use of specific econometric modelling methodologies to forecast US outbound travell...
The ability of various econometric and univariate time-series models to generate accurate forecasts ...
This study develops models to forecast international arrivals to regional China, using time series a...
Previous research in the area of tourism demand modeling and forecasting has paid little attention t...
Total tourist arrivals are the sum of disaggregate subcomponent arrivals by country of origin. We us...
Tourism in too many areas has been increasing for decades because of development in communications, ...
Numerous studies on tourism forecasting have now been published over the past five decades. However,...
This study investigates whether tourism forecasting accuracy is improved by incorporating spatial de...
Although numerous studies have focused on forecasting international tourism demand, minimal light ha...
This study examines the potential advantages of using Singular Spectrum Analysis (SSA) for forecasti...
This study evaluates the forecasting accuracy of five alternative econometric models in the context ...