THE USE OF ARIMA MODELS FOR FORECASTING THE SUPPLY AND DEMAND INDICATORS FROM TOURISM SECTOR
Iulian Condratov () and
Pavel Stanciu ()
Additional contact information
Iulian Condratov: Faculty of Economics and Public Administration "Stefan cel Mare" University of Suceava, Romania
The USV Annals of Economics and Public Administration, 2012, vol. 12, issue 2(16), 234-244
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.
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.seap.usv.ro/annals/arhiva/USVAEPA_VOL.1 ... 6),2012_fulltext.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:scm:usvaep:v:12:y:2012:i:2(16):p:234-244
Access Statistics for this article
The USV Annals of Economics and Public Administration is currently edited by Editura Universitatii Stefan cel Mare din Suceava
More articles in The USV Annals of Economics and Public Administration from Stefan cel Mare University of Suceava, Romania, Faculty of Economics and Public Administration Contact information at EDIRC.
Bibliographic data for series maintained by Liviu Scutariu ().