Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48783
Campo DC Valoridioma
dc.contributor.authorLeón González, Carmelo Javieren_US
dc.contributor.authorVázquez Polo, Francisco Joséen_US
dc.contributor.otherSuarez, Beatriz-
dc.contributor.otherVazquez-Polo, Francisco-Jose-
dc.date.accessioned2018-11-24T00:53:41Z-
dc.date.available2018-11-24T00:53:41Z-
dc.date.issued1998en_US
dc.identifier.issn0924-6460en_US
dc.identifier.urihttp://hdl.handle.net/10553/48783-
dc.description.abstractIn this paper we propose a Bayesian approach to model double bounded contingent valuation data. The double bounded elicitation method is interpreted as a two tier iterated process in which the subject is allowed to have a second thought about his/her valuation for the environmental good. Prior information is modelled from the answers to the first dichotomous choice question. The model is Quasi-Bayesian (Q-B) in that the prior distribution refers to mean willingness to pay while the likelihood function refers to the proportions of a multinomial distribution. This model is applied to empirical data from a contingent valuation survey involving the valuation expressed by European tourists for access to natural areas in the Canary Islands. Results show that point estimate of consumer surplus computed with the Q-B model does not differ substantially from single bounded model estimation. In addition, double bounded seems to be quite robust to the choice of the prior model of willingness to pay responses. Comparison with open ended suggests that the Q-B model might be useful to control for strategic response and starting point biases.en_US
dc.languageengen_US
dc.publisher0924-6460
dc.relation.ispartofEnvironmental and Resource Economicsen_US
dc.sourceEnvironmental and Resource Economics [ISSN 0924-6460], v. 11, p. 197-215en_US
dc.subject530204 Estadística económicaen_US
dc.subject.otherDichotomous Choiceen_US
dc.subject.otherDiscreteen_US
dc.subject.otherResponsesen_US
dc.titleA Bayesian approach to double bounded contingent valuationen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1023/A:1008266030455en_US
dc.identifier.scopus0032031866-
dc.identifier.isi000075462600005-
dcterms.isPartOfEnvironmental & Resource Economics
dcterms.sourceEnvironmental & Resource Economics[ISSN 0924-6460],v. 11 (2), p. 197-215
dc.contributor.authorscopusid7101886256-
dc.contributor.authorscopusid6602318225-
dc.description.lastpage215en_US
dc.description.firstpage197en_US
dc.relation.volume11en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000075462600005-
dc.contributor.daisngid597168-
dc.contributor.daisngid29952969-
dc.contributor.daisngid1028174-
dc.identifier.investigatorRIDL-6377-2014-
dc.identifier.investigatorRIDNo ID-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Leon, CJ-
dc.contributor.wosstandardWOS:Vazquez-Polo, FJ-
dc.date.coverdateMarzo 1998en_US
dc.identifier.ulpgces
dc.description.ssciSSCI
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR TIDES: Economía, medioambiente, sostenibilidad y turismo-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Análisis Económico Aplicado-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0001-9451-4093-
crisitem.author.orcid0000-0002-0632-6138-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameLeón González, Carmelo Javier-
crisitem.author.fullNameVázquez Polo, Francisco José-
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