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1.Department of Mathematics and Statistics Old Dominion University Norfolk, VA 23529, USA
2.Department of Information Technology and Decision Sciences Old Dominion University Norfolk, VA 23529, USA

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.
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Keywords Discrete choice models; Case 2 best-worst scaling; Markov decision processes; utility; attribute levels.

Citation: Amanda Working, Mohammed Alqawba, Norou Diawara, Ling Li. TIME DEPENDENT ATTRIBUTE-LEVEL BEST WORST DISCRETE CHOICE MODELLING. Big Data and Information Analytics, 2018, 3(1): 55-72. doi: 10.3934/bdia.2018010


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