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来源类型 | FEEM working papers "Note di lavoro" series |
规范类型 | 论文 |
Does a Third Bound Help? Parametric and Nonparametric Welfare Measures from a CV Interval Data Study | |
Riccardo Scarpa; Ian Bateman | |
发表日期 | 1998 |
出处 | Climate Change and Sustainable Development |
出版年 | 1998 |
语种 | 英语 |
摘要 | Positive response density estimation from CV interval data affords efficiency gains which must be weighed against the risk of introducing potential bias during questions iteration. This study examines the effect of eliciting a third response on a set of often-used welfare measures derived in a conventional parametric setting. It then compares these with distribution-free nonparametric estimates. A third bound increases censoring probability, introduces welfare estimates sensitivity to inclusion of a theoretically relevant covariate such as wealth which also affects efficiency gains. This might well introduce complications that outweigh the expected efficiency gain. This empirical finding supports and complements previous results obtained via simulation. |
特色分类 | C14,C42,H41 |
关键词 | Parametric,Nonparametric Welfare measures,Contingent valuation (CV),Willingness to pay (WTP) |
URL | https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/does-a-third-bound-help-parametric-and-nonparametric-welfare-measures-from-a-cv-interval-data-study/ |
来源智库 | Fondazione Eni Enrico Mattei (Italy) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/116347 |
推荐引用方式 GB/T 7714 | Riccardo Scarpa,Ian Bateman. Does a Third Bound Help? Parametric and Nonparametric Welfare Measures from a CV Interval Data Study. 1998. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
NDL1998-051.pdf(294KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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