Autori: Zoia, Maria Grazia , Osti, Linda , Nava, Consuelo Rubina
Titolo: Forecasting Domestic Tourism across Regional Destinations through MIDAS Regressions.
Periodico: Università degli studi di Torino. Dip. Di Economia e Statistica Cognetti de Martiis. Working paper series
Anno: 2022 - Volume: 3 - Fascicolo: 7 - Pagina iniziale: 1 - Pagina finale: 37

Over the years, benefits of domestic tourism have been shadowed by the exponential growth of international tourism, despite the former representing a crucial resource, especially at times of geopolitical instability and pandemics. Therefore, forecasting domestic tourism across different regions and sub-regions becomes fundamental to determine its viability as a substitution of international tourism during the COVID-19 pandemic and to evaluate the effectiveness of governmental incentive policies introduced for its promotion. To this aim, and given the availability of data sampled at different frequencies, mixed data-sampling (MIDAS) models have been employed to estimate and predict domestic tourism expenditures, arrivals, and overnight stays. To this aim, we consider the specific case of Italy for illustrative purposes.


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Testo completo: https://www.est.unito.it/do/home.pl/Download?doc=/allegati/wp2022dip/wp_07_2022.pdf

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