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Dataset and protocols on the applicability of the BDM mechanism in product evaluation

Understanding how to best elicit consumers' willingness to pay (WTP) for goods in an incentive-aligned way is one of the cornerstones in marketing planning decisions and consumer welfare theory. This article provides a dataset from an experiment with n = 107 consumers that measured the WTP for...

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Detalles Bibliográficos
Autores principales: Lichters, Marcel, Wackershauser, Verena, Han, Shixing, Vogt, Bodo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562191/
https://www.ncbi.nlm.nih.gov/pubmed/31211206
http://dx.doi.org/10.1016/j.dib.2019.104060
Descripción
Sumario:Understanding how to best elicit consumers' willingness to pay (WTP) for goods in an incentive-aligned way is one of the cornerstones in marketing planning decisions and consumer welfare theory. This article provides a dataset from an experiment with n = 107 consumers that measured the WTP for a set of eight real consumer goods by means of the Becker-DeGroot-Marschak (BDM) mechanism, entailing a facultative resell option. This procedure allows for testing the empirical incentive-compatibility of the BDM mechanism. Despite early evidence on lottery choices or fictitious goods, the empirical incentive-compatibility of the BDM mechanism in case of real consumer goods remains an under-researched topic. For the first time, we provide a dataset on consumers' WTP statements in such a paradigm. More precisely, this article provides experimental protocols, manipulation-check questions, full raw datasets, summary statistics, and model properties related to the research article entitled “On the applicability of the BDM mechanism in product evaluation” [Lichters et al., 2019]. The raw dataset allows for an independent analysis of consumers’ bidding behavior for multiple consumer goods. Thus, future researchers might use our dataset in a meta-analytic fashion for their own research on WTP elicitation.