Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case

Introduction: Contingent valuation (CVM) is the most significant direct method for estimating the total monetary value of ecosystem services. Objective: The parametric and non-parametric methods of estimation of the willingness to pay (WTP) were compared through the intervals of the mean, to give re...

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Autores: Marco A. López-Santiago, César A. Meza-Herrera, Ramón Valdivia-Alcalá
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:México
Institución:Universidad Autónoma Chapingo
Repositorio:Redalyc-UACHP
OAI Identifier:oai:redalyc.org:62950747003
Acceso en línea:https://www.redalyc.org/articulo.oa?id=62950747003
Access Level:acceso abierto
Palabra clave:Agrociencias
ecosystem services
economic valuation
natural resource economics
Contingent valuation method
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spelling Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric caseMarco A. López-SantiagoCésar A. Meza-HerreraRamón Valdivia-AlcaláAgrocienciasecosystem serviceseconomic valuationnatural resource economicsContingent valuation methodIntroduction: Contingent valuation (CVM) is the most significant direct method for estimating the total monetary value of ecosystem services. Objective: The parametric and non-parametric methods of estimation of the willingness to pay (WTP) were compared through the intervals of the mean, to give recommendations of use in the valuation of ecosystem services. Materials and Methods: In order to provide support for the comparison of the methods, two case studies that applied the CVM were used. Within the non-parametric approach, the mean and variance intervals obtained with the Boman, Bostedt and Kriström formulas were compared with those obtained by the Haab and McConnell method. Results and Discussion: The parametric and non-parametric methods can be used indistinctly to obtain the mean of the WTP, because no significant differences were observed among the estimated values. In non-parametric methods, the two approaches analyzed do not differ in the estimation of the mean, but there are differences when calculating the variances; the Haab and McConnell method generates relatively larger mean variances. Conclusion: It is recommended to use the non-parametric method as a complement or validation of the results of the parametric method, since the latter includes socioeconomic explanatory variables of the WTP.Universidad Autónoma Chapingo2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf2007-3828https://www.redalyc.org/articulo.oa?id=62950747003Revista Chapingo. Serie Ciencias Forestales y del Ambiente (México) Num.2 Vol.XXIIIreponame:Redalyc-UACHPinstname:Universidad Autónoma Chapingoinstacron:UACHPenhttp://www.redalyc.org/revista.oa?id=629Revista Chapingo. Serie Ciencias Forestales y del Ambienteinfo:eu-repo/semantics/openAccessoai:redalyc.org:629507470032025-09-18T19:00:30Z
dc.title.none.fl_str_mv Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case
title Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case
spellingShingle Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case
Marco A. López-Santiago
Agrociencias
ecosystem services
economic valuation
natural resource economics
Contingent valuation method
title_short Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case
title_full Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case
title_fullStr Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case
title_full_unstemmed Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case
title_sort Analysis of methods to estimate the mean and variance of the willingness to pay: parametric and non-parametric case
dc.creator.none.fl_str_mv Marco A. López-Santiago
César A. Meza-Herrera
Ramón Valdivia-Alcalá
author Marco A. López-Santiago
author_facet Marco A. López-Santiago
César A. Meza-Herrera
Ramón Valdivia-Alcalá
author_role author
author2 César A. Meza-Herrera
Ramón Valdivia-Alcalá
author2_role author
author
dc.subject.none.fl_str_mv Agrociencias
ecosystem services
economic valuation
natural resource economics
Contingent valuation method
topic Agrociencias
ecosystem services
economic valuation
natural resource economics
Contingent valuation method
description Introduction: Contingent valuation (CVM) is the most significant direct method for estimating the total monetary value of ecosystem services. Objective: The parametric and non-parametric methods of estimation of the willingness to pay (WTP) were compared through the intervals of the mean, to give recommendations of use in the valuation of ecosystem services. Materials and Methods: In order to provide support for the comparison of the methods, two case studies that applied the CVM were used. Within the non-parametric approach, the mean and variance intervals obtained with the Boman, Bostedt and Kriström formulas were compared with those obtained by the Haab and McConnell method. Results and Discussion: The parametric and non-parametric methods can be used indistinctly to obtain the mean of the WTP, because no significant differences were observed among the estimated values. In non-parametric methods, the two approaches analyzed do not differ in the estimation of the mean, but there are differences when calculating the variances; the Haab and McConnell method generates relatively larger mean variances. Conclusion: It is recommended to use the non-parametric method as a complement or validation of the results of the parametric method, since the latter includes socioeconomic explanatory variables of the WTP.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 2007-3828
https://www.redalyc.org/articulo.oa?id=62950747003
identifier_str_mv 2007-3828
url https://www.redalyc.org/articulo.oa?id=62950747003
dc.language.none.fl_str_mv en
language_invalid_str_mv en
dc.relation.none.fl_str_mv http://www.redalyc.org/revista.oa?id=629
dc.rights.none.fl_str_mv Revista Chapingo. Serie Ciencias Forestales y del Ambiente
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Revista Chapingo. Serie Ciencias Forestales y del Ambiente
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Autónoma Chapingo
publisher.none.fl_str_mv Universidad Autónoma Chapingo
dc.source.none.fl_str_mv Revista Chapingo. Serie Ciencias Forestales y del Ambiente (México) Num.2 Vol.XXIII
reponame:Redalyc-UACHP
instname:Universidad Autónoma Chapingo
instacron:UACHP
instname_str Universidad Autónoma Chapingo
instacron_str UACHP
institution UACHP
reponame_str Redalyc-UACHP
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