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Title: A meta-analysis of international tourism demand elasticities
Authors: Peng, B
Song, H 
Crouch, GI
Witt, SF
Issue Date: 1-Sep-2015
Source: Journal of travel research, 1 Sept. 2015, v. 54, no. 5, p. 611-633
Abstract: This study uses meta-analysis to examine the relationship between estimated international tourism demand elasticities and the data characteristics and study features that may affect such empirical estimates. By reviewing 195 studies published during the period 1961�V2011, the meta-regression analysis shows that origin, destination, time period, modeling method, data frequency, the inclusion/omission of other explanatory variables and their measures, and sample size all significantly influence the estimates of the demand elasticities generated by a model. Moreover, the demand elasticities at both product and destination levels are generalized by statistically integrating previous empirical estimates. The findings of this meta-analysis will be useful wherever an understanding of the drivers of tourism demand is critically important. ? 2014, ? The Author(s) 2014.
Keywords: Data characteristics
Meta-analysis
Study features
Tourism demand elasticities
Publisher: SAGE Publications
Journal: Journal of travel research 
ISSN: 0047-2875
EISSN: 1552-6763
DOI: 10.1177/0047287514528283
Rights: This is the accepted version of the publication Peng, B., Song, H., Crouch, G. I., & Witt, S. F., A meta-analysis of international tourism demand elasticities, Journal of Travel Research (Volume 54 and issue 5) pp. 611-633. Copyright © 2014 (The Author(s)). DOI: 10.1177/0047287514528283.
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