A Bayesian quantile binary regression approach to estimate payments for environmental services

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dc.contributor.authorVásquez Lavín, Felipe
dc.contributor.authorFlores, Ricardo
dc.contributor.authorIbarnegaray, Verónica
dc.date.accessioned2017-11-15T21:56:48Z
dc.date.available2017-11-15T21:56:48Z
dc.date.issued2017
dc.description.abstractStated preference approaches, such as contingent valuation, focus mainly on the estimation of the mean or median willingness to pay (WTP) for an environmental good. Nevertheless, these two welfare measures may not be appropriate when there are social and political concerns associated with implementing a payment for environmental services (PES) scheme. In this paper the authors used a Bayesian estimation approach to estimate a quantile binary regression and the WTP distribution in the context of a contingent valuation PES application. Our results show that the use of other quantiles framed in the supermajority concept provides a reasonable interpretation of the technical nonmarket valuation studies in the PES area. We found that the values of the mean WTP are 10-37 times higher than the value that would support a supermajority of 70 per cent of the population.
dc.format.extent20 p.
dc.identifier.citationLavín, F., Flores, R., & Ibarnegaray, V. (2017). A Bayesian quantile binary regression approach to estimate payments for environmental services. Environment and Development Economics, 22(2), 156-176.
dc.identifier.urihttp://hdl.handle.net/11447/1744
dc.identifier.urihttp://dx.doi.org/10.1017/S1355770X16000255
dc.language.isoen_US
dc.subjectWelfare Evaluations
dc.subjectCosta Rica
dc.subjectConservation
dc.subjectModels
dc.subjectManagement
dc.subjectNicaragua
dc.subjectContingent valuation
dc.subjectMaximum score estimator
dc.subjectWillingness to pay
dc.subjectDeveloping countries
dc.titleA Bayesian quantile binary regression approach to estimate payments for environmental services
dc.typeArtículo

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