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Comparing Willingness To Pay Estimation Models For Conjoint Analysis: A Case Study Of Willingness To Pay For Biodegradable Containers For Plants

机译:比较愿意支付联合分析估算模型的意愿 - 以植物生物降解容器支付愿意的案例研究

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This study utilized and compared different econometric models to analyze conjoint analysis data to elicit floral customers? willingness to pay (WTP) for bio-degradable plant containers. From the conjoint data, this paper shows that mixed tobit models or mixed ordered probit models generate more accurate results than the tobit, ordered probit models, or linear models used in the literature. Accordingly, we conclude that mixed tobit or mixed ordered probit models should be used in conjoint analysis instead of tobit, ordered probit or linear models when there is a significant correlation between multiple evaluations from the same participants. The results of the study show that participants were willing to pay a price premium for biodegradable containers, but the premium was not the same for different types of containers
机译:本研究利用并比较了不同的计量计量模型来分析联合分析数据以引出花卉客户?愿意支付(WTP)对生物可降解的植物容器。从联合数据来看,本文表明,混合Tobit模型或混合有序概率模型会比TOBIT,有序探测模型或文献中使用的线性模型产生更准确的结果。因此,我们得出结论,混合Tobit或混合有序探测模型应该用于与同一参与者的多个评估之间的多重相关性有显着相关性时,用于联合分析而不是TOBIT,有序探测或线性模型。该研究结果表明,参与者愿意为可生物降解的容器支付价格溢价,但对不同类型的集装箱的保费不一样

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