Document Type
Article
Publication Date
2018
DOI
10.3934/bdia.2018010
Publication Title
Big Data and Information Analytics
Volume
3
Issue
1
Pages
55-72
Abstract
Discrete choice models (DCMs) are applied in statistical modelling of consumer behavior. Such models are used in many areas including social sciences, health economics, transportation research, and health systems research and they are time dependent. In this manuscript, we review references on the study of such models, develop DCMs with emphasis on time dependent best-worst choice and discrimination between choice attributes. Referenced measurements of the dynamic DCMs are simulated. Expected utilities over time are derived using Markov decision processes. We study attributes and attribute-levels associated with the quality of life of seniors, report the estimation results, and discuss our findings.
Rights
© 2018 the Authors
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Original Publication Citation
Amanda, W., Mohammed, A., Norou, D., & Ling, L. (2018). Time dependent attribute-level best worst discrete choice modeling. Big Data and Information Analytics, 3(1), 55-72. https://doi.org/10.3934/bdia.2018010
ORCID
0000-0002-8403-6793 (Diawara)
Repository Citation
Working, Amanda; Alqawba, Mohammed; Diawara, Norou; and Li, Ling, "Time Dependent Attribute-Level Best Worst Discrete Choice Modelling" (2018). Mathematics & Statistics Faculty Publications. 297.
https://digitalcommons.odu.edu/mathstat_fac_pubs/297
Included in
Health Economics Commons, Statistics and Probability Commons, Technology and Innovation Commons