Testing on-site sampling correction in discrete choice experiments
Tzu-Ming Liu
Tourism Management, 2017, vol. 60, issue C, 439-441
Abstract:
This study uses truncated Poisson regression to correct endogeneity of discrete choice experiments (DCEs) with data from on-site sampling, which has been commonly used to collect samples in the field of tourism research. We find that goodness of fit of model is significantly improved with on-site sampling correction. Estimated parameters with onsite sampling correction also match the predictions of economic theory better. Estimated willingness to pay for attributes are substantially underestimated due to sample selection bias. These results question the use of DCEs without on-site sampling correction for tourism policy making.
Keywords: On-site sampling bias; Discrete choice experiments; Black-faced; Spoonbill reserve; Wildlife tourism; Visitor WTP (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261517717300043
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:eee:touman:v:60:y:2017:i:c:p:439-441
DOI: 10.1016/j.tourman.2017.01.004
Access Statistics for this article
Tourism Management is currently edited by Chris Ryan
More articles in Tourism Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().