Forecasting Tourism Demand in Croatia: A Disaggregated Analysis of Monthly Overnight Stays (CROSBI ID 529192)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Payne, James E. ; Mervar, Andrea
engleski
Forecasting Tourism Demand in Croatia: A Disaggregated Analysis of Monthly Overnight Stays
The Croatian tourism industry has experienced a substantial rise over the recent years resulting in its continuously increasing significance for the overall economy. In light of that, this study estimates monthly time series intervention seasonal ARIMA models for the total number of tourist overnight stays as well for the overnight stays disaggregated into domestic and foreign components. The time series intervention seasonal ARIMA models include intervention variables for the 1995 military action by the Croatian authorities and the 1999 Kosovo crisis. Allowing for time-varying variance in the residuals of the intervention seasonal ARIMA models, in-sample and out-of-sample forecasts are generated for total, domestic, and foreign tourist overnight stays.
tourism forecasting; ARIMA models; ARCH models; Croatia
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Podaci o prilogu
--x.
2007.
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objavljeno
Podaci o matičnoj publikaciji
Reić, Zllatan ; Fredotović, Maja
Split: Ekonomski fakultet Sveučilišta u Splitu
1846-2618
Podaci o skupu
Enterprise in Transition
predavanje
24.05.2007-26.05.2007
Split, Hrvatska