| 来源类型 | FEEM working papers "Note di lavoro" series |
| 规范类型 | 论文 |
| Bias and Efficiency of Single vs Double Bound Models for Contingent Valuation Studies: a Monte Carlo Analysis | |
| Elisabetta Strazzera; Pinuccia Calia | |
| 发表日期 | 1999 |
| 出处 | Climate Change and Sustainable Development |
| 出版年 | 1999 |
| 语种 | 英语 |
| 摘要 | The Dichotomous Choice Contingent Valuation Method can be used either in the single or double bound formulation. The former is easier to implement, while the latter is known to be more efficient. We analyse the bias of the ML estimates produced by either model, and the gain in efficiency associated to the double bound model, in different experimental settings. We find that there are no relevant differences in point estimates given by the two models, even for small sample size, and no estimator can be said to be less biased than the other. The greater efficiency of the double bound is confirmed, although differences tend to reduce by increasing the sample size. Provided that a reliable pre-test is conducted, and the sample size is large, use of the single rather than the double bound model is warranted. |
| 特色分类 | C15,C35,D60,H41,Q26 |
| 关键词 | Contingent valuation,Single bound estimator,Double bound estimator,Bias,Statistical efficiency |
| URL | https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/bias-and-efficiency-of-single-vs-double-bound-models-for-contingent-valuation-studies-a-monte-carlo-analysis/ |
| 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/116402 |
| 推荐引用方式 GB/T 7714 | Elisabetta Strazzera,Pinuccia Calia. Bias and Efficiency of Single vs Double Bound Models for Contingent Valuation Studies: a Monte Carlo Analysis. 1999. |
| 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 | ||
| NDL1999-010.pdf（157KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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