Testing the Consistency Between Standard Contingent Valuation, Repeated Contingent Valuation and Choice Experiments
Mike Christie and
Christopher Azevedo ()
Journal of Agricultural Economics, 2009, vol. 60, issue 1, 154-170
Choice experiments (CEs) are a relatively new approach to valuing environmental resources. Initial tests of the validity of the approach have either compared benefit estimates generated using CEs with those estimated using contingent valuation (CV) or used more sophisticated hypothesis tests of parameter equality. Although useful, existing tests have been restricted to testing consistency based on a single policy scenario (standard CV). We argue that, although these tests are informative, they fail to take full advantage of the richness of CE data. In particular, CE data allow for the calculation of benefit estimates over a range of policy scenarios (i.e. attribute combinations). A similar range of benefit estimates may be generated by pooling scenarios in a repeated CV study. In this paper, we explore this relationship between CV and CEs by conducting validity tests between a CE model and a repeated CV model over a range of three levels of improved water quality at Clear Lake, IA, USA. Evidence from this test suggests that the CE and CV data are consistent.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17) Track citations by RSS feed
Downloads: (external link)
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:bla:jageco:v:60:y:2009:i:1:p:154-170
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0021-857X
Access Statistics for this article
Journal of Agricultural Economics is currently edited by David Harvey
More articles in Journal of Agricultural Economics from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().