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  • 标题:Generalized Estimation Methods for Non-i.i.d. Binary Data: An Application to Dichotomous Choice Contingent Valuation
  • 本地全文:下载
  • 作者:Kim, Sooil ; Haab, Timothy C.
  • 期刊名称:Journal of Food Distribution Research
  • 印刷版ISSN:0047-245X
  • 出版年度:2005
  • 期号:SUPPL
  • 出版社:Food Distribution Research Society
  • 摘要:We challenge the assumption of i.i.d random utility across alternatives embedded in typical applications of logit models to dichotomous choice contingent valuation data. Using a Gumbel mixed distribution which nests a number of traditional models, we show that the logistic distribution is not a suitable distribution for contingent valuation analysis.
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