Implicit prices for longer temporary exhibitions in a heritage site and a test of preference heterogeneity: A segmentation-based approach
Andy Choi ()
Tourism Management, 2011, vol. 32, issue 3, 511-519
Abstract:
This paper examines whether or not people with different characteristics have significantly different nonmarket preferences for longer temporary exhibitions in a cultural heritage site, using a choice modelling study. In order to perform the examination, several methods to calculate confidence intervals (the bootstrap, jackknife, Krinsky and Robb, and Delta methods), and a convolutions approach are adapted. A sample is segmented into relatively homogeneous subgroups according to their sociodemographic or attitudinal characteristics. The results from a case study show that (1) the implicit price for longer exhibitions by one month is AU$5.01 per household; (2) sociodemographic and attitudinal characteristics as segmentation criteria do not cause significantly different implicit prices; and (3) different methods of testing the relationship between mean WTP estimates did not lead to different conclusions.
Keywords: Choice modelling; Preference heterogeneity; Test of difference; Confidence intervals; Convolutions approach; Segmentation (search for similar items in EconPapers)
JEL-codes: C51 Q51 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S026151771000066X
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:32:y:2011:i:3:p:511-519
DOI: 10.1016/j.tourman.2010.04.002
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 ().