Abstract
Tourism demand modelling is one of the most studied areas in tourism economics, particularly focused on time series and econometric research. In this study, directly interpretable one-equation techniques are utilised, i.e. the autoregressive distributed lag model (ADLM) and the derived error correction model (ECM). To complement the sharing of information and habits in tourism, we apply regressors derived from wages, general prices, and dummies. For the Czech and Austrian data, short- as well as long-run sets of outputs act differently, regarding the specific situation. Such information can straightforwardly be applied to the effective planning of various activities covering the public and private sectors. The results are completed by the standard cointegration testing procedure and residual analysis.
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 callDisclaimer: 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.
