全球智库信息集成服务系统(G2TT): Does a Third Bound Help? Parametric and Nonparametric Welfare Measures from a CV Interval Data Study

G2TT

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.

条目包含的文件
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