Estimación bootstrap de la disposición a pagar en modelos de valoración contingente: Análisis del escenario de respuestas binarias balanceadas
This research aims to show the application of the bootstrap method in the process of estimating the willingness to pay (WTP) for a determined environmental service, using the binary choice model for contingent valuation. The main contribution of the research, is the inclusion of an additional criter...
| Autores: | ; |
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| Tipo de documento: | Artigo |
| Estado: | Published version |
| Data de publicação: | 2017 |
| País: | Perú |
| Recursos: | UNMSM |
| Repositório: | Revistas - Universidad Nacional Mayor de San Marcos |
| Idioma: | Espanhol |
| OAI Identifier: | oai:revistasinvestigacion.unmsm.edu.pe:article/13749 |
| Acesso em linha: | https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/13749 |
| Nível de acesso: | Acesso aberto |
| Palavra-chave: | disposición a pagar bootstrap logit valoración contingente willingness to pay logit model contingent valuation |
| Resumo: | This research aims to show the application of the bootstrap method in the process of estimating the willingness to pay (WTP) for a determined environmental service, using the binary choice model for contingent valuation. The main contribution of the research, is the inclusion of an additional criterion in the bootstrap process, in which samples are randomly selected containing balanced values in the dependent dichotomous variable. For illustrative purposes, it is used the data base from the Postigo (2011) study, in order to estimate the mean, standard error and the confidence interval of the WTP through de bootstrap method. In comparison of the results obtained in the baseline scenario, if the bootstrap method with balanced subsamples is applied, it would be obtained logit coefficients with greater statistical significance and also lower mean and standard error of the WTP. |
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