THE USE OF ARIMA MODELS FOR FORECASTING THE SUPPLY AND DEMAND INDICATORS FROM TOURISM SECTOR

Abstract

This paper presents the use of ARIMA models in making prognosis for the tourism industry. Within this analysis were taken variables that capture both the supply and the demand for tourist services. These variable data are related to the tourism sector from the County of Suceava – Romania and have been taken from TEMPO-Online data base-time series, managed by the National Institute of Statistics. The analysis results were able to highlight, even under the severe impact that the financial crisis had the last three years that the tourism sector of Suceava will continue to be on an ascendant trend in terms of supply and demand indicators.