Abstract
Econometric models for the forecast of tourism demand are developed in this paper. In order to assess the long-run trends concerning principal tourism generating countries, the Johansen's maximum likelihood techniques are applied. For a better assessment of the short-run trends, the estimated error correction terms are introduced to the first difference models to estimate the short-run relationships (Error Correction Models, ECMs). Based on the results given by the ECMs, fuzzy regression models are suggested and then compared in order to provide the forecasting ability of both techniques (Fuzzy and ECMs). Finally, for the evaluation of forecasting performance, the Theil's Inequality Coefficient is applied.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Computational Methods in Sciences and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
