The relationship between tourism and economic growth in greece economy: a time series analysis
Turgut Bayramoğlu () and
Yılmaz Onur Arı ()
Additional contact information
Turgut Bayramoğlu: Assistant Professor Doctor Bayburt University, Economics Department
Yılmaz Onur Arı: Research Assistant Bayburt University, Economics Department
Computational Methods in Social Sciences (CMSS), 2015, vol. 3, issue 1, 89-93
In this study it’s analyzed how and in what way the expenditures of foreign visitors who came to Greece between 1980 and 2013 affected economic growth for Greece. For this purpose Granger Causality Test was used, the results of unit root tests such as Augmented Dickey Fuller (ADF) and the Philips Perron (PP) were tested and because it’s a time series analysis, unit root and co - integraion tests were applied. At this point lag coefficient was obtained using by Akaike Information Criteria (AIC). Using five different criteria, it was confirmed that the best suited lag period is 2. GDP and tourism data were obtained from the World Bank Statistical Data. The result showed that there was a strong unidirectional causality from the expenditures of foreign tourists who visited Greece to the growth of Greece at 1 % level of significance.
Keywords: - (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://cmss.univnt.ro/wp-content/uploads/vol/split ... _issue_1_art.009.pdf First version, 2015 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ntu:ntcmss:vol3-iss1-15-089
Access Statistics for this article
Computational Methods in Social Sciences (CMSS) is currently edited by Bogdan Oancea
More articles in Computational Methods in Social Sciences (CMSS) from "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences Contact information at EDIRC.
Series data maintained by Stefan Ciucu ().