Pregled bibliografske jedinice broj: 790403
Forecasting Disaggregated Tourist Arrivals in Croatia: Evidence from Seasonal Univariate Time Series Models
Forecasting Disaggregated Tourist Arrivals in Croatia: Evidence from Seasonal Univariate Time Series Models // Tourism economics, 23 (2017), 1; 78-98 doi:10.5367/te.2015.0499 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 790403 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Forecasting Disaggregated Tourist Arrivals in Croatia: Evidence from Seasonal Univariate Time Series Models
Autori
Apergis, Nicholas ; Mervar, Andrea ; Payne, James E.
Izvornik
Tourism economics (1354-8166) 23
(2017), 1;
78-98
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
tourist arrivals ; forecasting ; Croatia ; ARIMA ; ARAR ; Fourier transformation
Sažetak
This study examines the performance of four alternative univariate seasonal time series forecasting models (seasonal ARIMA, seasonal ARIMA with Fourier transformation, ARAR, and fractionally integrated ARMA) of tourist arrivals to twenty Croatian counties and the City of Zagreb. Both in-sample and out-of-sample forecasts reveal that the seasonal ARIMA model with Fourier transformation consistently outperforms the other models across the respective regions investigated.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
Objavljeno prvi put na mreznim stranicama 1 srpnja 2015.
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- EconLit
Uključenost u ostale bibliografske baze podataka::
- ABI/INFORM
- EconLit
- IBSS - The International Bibliography of the Social Sciences
- CABI, EBSCO, Ovid, Scopus
