Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time

  • Discrete choice experiments have emerged as the state-of-the-art method for measuring preferences, but they are mostly used in cross-sectional studies. In seeking to make them applicable for longitudinal studies, our study addresses two common challenges: working with different respondents and handling altering attributes. We propose a sample-based longitudinal discrete choice experiment in combination with a covariate-extended hierarchical Bayes logit estimator that allows one to test the statistical significance of changes. We showcase this method’s use in studies about preferences for electric vehicles over six years and empirically observe that preferences develop in an unpredictable, non-monotonous way. We also find that inspecting only the absolute differences in preferences between samples may result in misleading inferences. Moreover, surveying a new sample produced similar results as asking the same sample of respondents over time. Finally, we experimentally test how adding or removing an attribute affects preferences for the other attributes.

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Author:Katharina KellerORCiDGND, Christian SchlerethORCiDGND, Oliver HinzORCiDGND
Parent Title (English):Journal of the Academy of Marketing Science
Publisher:Springer Netherlands
Place of publication:Dordrecht
Document Type:Article
Date of Publication (online):2021/02/19
Date of first Publication:2021/02/19
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/03/06
Tag:Adoption; Complementary mobility services; Discrete choice experiment; Dual response; Electric vehicles; Sample-based longitudinal study
Page Number:19
First Page:482
Last Page:500
This work has been funded by the German Research Foundation (DFG) within the Collaborative Research Center (CRC) 1053—MAKI.
Open Access funding enabled and organized by Projekt DEAL.
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International