全球智库信息集成服务系统(G2TT): Comparing Individual-Specific Benefit Estimates for Public Goods: Finite Versus Continuous Mixing in Logit Models

G2TT

来源类型	FEEM working papers "Note di lavoro" series
规范类型	论文
	Comparing Individual-Specific Benefit Estimates for Public Goods: Finite Versus Continuous Mixing in Logit Models
	Riccardo Scarpa; Kenneth G. Willis; Melinda Acutt
发表日期	2004
出处	Climate Change and Sustainable Development
出版年	2004
语种	英语
摘要	Multi-attribute stated preference data, derived through choice experiments, is used to investigate the consequence of a finite number of preference groups in a sample of Yorkshire Water residential customers on the conditional distributions of willingness to pay in the sample. The research focuses on 'public good' values, and retrieves the implicit customer specific welfare measures conditional on a sequence of four observed choices. We assess and contrast the sample evidence for the presence of a finite number of 2, 3, 4 and 5 latent preference groups (classes), and contrast these with the presence of a continuous distribution of parameter estimates using mixed logit models. The main focus is the conditional valuations in the form of marginal values for the consequence of waste water handling and treatment, namely: river water quality, area flooding by sewage, presence of odour and flies, and other water related amenities.
特色分类	C25,C42,H41
关键词	Choice experiments,Mixed logit,Latent classes,Individual-specific
URL	https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/comparing-individual-specific-benefit-estimates-for-public-goods-finite-versus-continuous-mixing-in-logit-models/
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/117083
推荐引用方式 GB/T 7714	Riccardo Scarpa,Kenneth G. Willis,Melinda Acutt. Comparing Individual-Specific Benefit Estimates for Public Goods: Finite Versus Continuous Mixing in Logit Models. 2004.