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

Files

A Bayesian quantile binary regression approach to estimate payments for environmental services.pdf (481 KB)

Date

2017

Type:

Artículo

Collections

Artículos Economía y Negocios

Descargas totales

111

Vistas totales

2
Gestores bibliográficos

Authors

item.contributor.advisor

ORCID:

Journal Title

Journal ISSN

Volume Title

Publisher

item.page.isbn

item.page.issn

item.page.issne

item.page.doiurl

URI

http://hdl.handle.net/11447/1744
 http://dx.doi.org/10.1017/S1355770X16000255

item.page.extent

20 p.

item.page.accessRights

item.page.other

item.page.references

Abstract

Stated 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 mea...

Description

item.page.coverage.spatial

item.page.sponsorship

Citation

Lavín, 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.

Keywords

Welfare Evaluations , Costa Rica , Conservation , Models , Management , Nicaragua , Contingent valuation , Maximum score estimator , Willingness to pay , Developing countries

item.page.dc.rights

item.page.dc.rights.url

Estadísticas de uso
2 1,5 1 0,5 0
Septiembre 2025Octubre 2025Noviembre 2025Diciembre 2025Enero 2026Febrero 2026Marzo 2026

Implementado por OpenGeek Services