情境定义在选择实验中的作用:一种基于定制情境的方法论建议

Q1 Economics, Econometrics and Finance Wine Economics and Policy Pub Date : 2020-11-23 DOI:10.36253/WEB-7978
F. Boncinelli, C. Contini, Francesca Gerini, Caterina Romano, G. Scozzafava, L. Casini
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引用次数: 5

摘要

对于离散选择实验的有效性来说,最关键的一点在于其使实验尽可能接近实际市场条件的能力。特别是在处理具有大量属性的产品时,实验的构建提出了如何在提供足够信息的情况下表达选择问题的问题。我们的研究验证了场景定义在选择实验中的作用,并提出了一种通过询问受访者对主要选择标准的反应来构建定制场景的方法,从而使实验条件更加真实。该方法应用于葡萄酒的案例研究,并通过对葡萄酒进行离散选择实验的系统回顾介绍。研究结果表明,与传统方法相比,定制场景会导致不同的偏好估计。特别是,我们发现价格属性的重要性显著下降,这可以归因于对被评估产品的更好定义。此外,该方法能够收集关于决策过程的信息,否则这些信息将无法被观察到,可以用于更好的分割分析。
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The Role of Context Definition in Choice Experiments: a Methodological Proposal Based on Customized Scenarios
One of the most critical points for the validity of Discrete Choice Experiments lies in their capability to render the experiment as close to actual market conditions as possible. In particular, when dealing with products characterized by a large number of attributes, the construction of the experiment poses the issue of how to express the choice question providing sufficient information. Our study verifies the role of scenario definition in choice experiments and proposes a methodology to build customized scenarios by eliciting responses from interviewees on the main choice criteria, which makes it possible to render the conditions of the experiment more realistic. This methodology is applied to the case study of wine and is introduced by a systematic review of the Discrete Choice Experiments conducted on wine. The findings show that customized scenarios result in different preference estimates compared to the conventional approach. In particular, we found a significant decline in the importance of the price attribute, which could be attributed to a better definition of the product being evaluated. Moreover, the methodology is capable of gathering information on the decision-making process that would otherwise remain unobserved and that can be used for a better segmentation analysis.
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来源期刊
Wine Economics and Policy
Wine Economics and Policy Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
2.20
自引率
0.00%
发文量
0
审稿时长
28 weeks
期刊最新文献
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