Do Terrorist Attacks Leave an Identifiable ‘Fingerprint’ on International Tourist Arrival Data?

Authors: Morakabati, Y. and Beavis, J.

http://eprints.bournemouth.ac.uk/24793/

Journal: Morakabati, Y. and Beavis, J., 2017. Do Terrorist Attacks leave an identifiable ‘fingerprint’ on international tourist arrival? International Journal of Therapy and Rehabilitation

Volume: 19

Issue: 2

Pages: 179-190

This article empirically examines the postulated effects of at least a single terrorist attack on the measure of monthly international arrivals. The study uses the tsoutliers R package to detect outliers in time series data following terrorist attacks in five destinations. The contribution of this paper is found in the methodological approach that was implemented consistently across all five destinations. The findings suggest that there is no evidence to support the view that there is a consistent disturbance from a well-fitted time series (a data ‘fingerprint’) created by a terrorist attack across the five different destinations or even, in at least one case, in the same destination, at different times.

This data was imported from Scopus:

Authors: Morakabati, Y. and Beavis, J.

http://eprints.bournemouth.ac.uk/24793/

Journal: International Journal of Tourism Research

Volume: 19

Issue: 2

Pages: 179-190

eISSN: 1522-1970

ISSN: 1099-2340

DOI: 10.1002/jtr.2095

Copyright © 2017 John Wiley & Sons, Ltd. This article empirically examines the postulated effects of at least a single terrorist attack on the measure of monthly international arrivals. The study uses the tsoutliers R package to detect outliers in time series data following terrorist attacks in five destinations. The contribution of this paper is found in the methodological approach that was implemented consistently across all five destinations. The findings suggest that there is no evidence to support the view that there is a consistent disturbance from a well-fitted time series (a data ‘fingerprint’) created by a terrorist attack across the five different destinations or even, in at least one case, in the same destination, at different times. Copyright © 2017 John Wiley & Sons, Ltd.

This data was imported from Web of Science (Lite):

Authors: Morakabati, Y. and Beavis, J.

http://eprints.bournemouth.ac.uk/24793/

Journal: INTERNATIONAL JOURNAL OF TOURISM RESEARCH

Volume: 19

Issue: 2

Pages: 179-190

eISSN: 1522-1970

ISSN: 1099-2340

DOI: 10.1002/jtr.2095

The data on this page was last updated at 05:17 on May 25, 2020.