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文章基本信息

  • 标题:Monte Carlo Benchmarks for Discrete Response Valuation Methods
  • 本地全文:下载
  • 作者:Huang, Ju-Chin ; Smith, V. Kerry
  • 期刊名称:Journal of Food Distribution Research
  • 印刷版ISSN:0047-245X
  • 出版年度:1997
  • 期号:SUPPL
  • 出版社:Food Distribution Research Society
  • 摘要:This paper argues that the widespread belief that discrete contingent valuation (CV) questions yield substantially larger estimates of the mean (and the median) willingness to pay (WTP) for nonmarket environmental resources in comparison to estimates from open-ended CV questions is unfounded. A set of Monte Carlo experiments estimate the factors influencing the performance of WTP estimates based on discrete response models. Most of the error in the WTP estimates arises from the specification errors that are common in most of the empirical models used in the literature. These experiments suggest models based on choices where WTP is dominated by non use (or passive use) values are likely to have smaller errors than where large use values influence these decisions.
  • 关键词:discrete response contingent valuation;Monte Carlo;non-market valuation
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