TY  - JOUR
A1  - Keller, Katharina
A1  - Schlereth, Christian
A1  - Hinz, Oliver
T1  - Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time
T2  - Journal of the Academy of Marketing Science
N2  - 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.
KW  - Adoption
KW  - Electric vehicles
KW  - Complementary mobility services
KW  - Discrete choice experiment
KW  - Dual response
KW  - Sample-based longitudinal study
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/69452
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-694523
SN  - 1552-7824
N1  - This work has been funded by the German Research Foundation (DFG) within the Collaborative Research Center (CRC) 1053—MAKI.
N1  - Open Access funding enabled and organized by Projekt DEAL.
VL  - 49
IS  - 3
SP  - 482
EP  - 500
PB  - Springer Netherlands
CY  - Dordrecht
ER  -