How to model consumer heterogeneity? Lessons from three case studies on SP and RP data
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DOI: 10.1016/j.rie.2016.02.002
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Cited by:
- Chandoevwit, Worawan & Wasi, Nada, 2020.
"Incorporating discrete choice experiments into policy decisions: Case of designing public long-term care insurance,"
Social Science & Medicine, Elsevier, vol. 258(C).
- Worawan Chandoevwit & Nada Wasi, 2020. "Incorporating Discrete Choice Experiments into Policy Decisions: Case of Designing Public Long-Term Care Insurance," PIER Discussion Papers 134, Puey Ungphakorn Institute for Economic Research.
- Etro, Federico, 2016. "Research in economics and industrial organization," Research in Economics, Elsevier, vol. 70(4), pages 511-517.
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- Keane, Michael & Ketcham, Jonathan & Kuminoff, Nicolai & Neal, Timothy, 2021.
"Evaluating consumers’ choices of Medicare Part D plans: A study in behavioral welfare economics,"
Journal of Econometrics, Elsevier, vol. 222(1), pages 107-140.
- Michael P. Keane & Jonathan D. Ketcham & Nicolai V. Kuminoff & Timothy Neal, 2019. "Evaluating Consumers' Choices of Medicare Part D Plans: A Study in Behavioral Welfare Economics," NBER Working Papers 25652, National Bureau of Economic Research, Inc.
- Gupta, Vishal Kumar & Ting, Q.U. & Tiwari, Manoj Kumar, 2019. "Multi-period price optimization problem for omnichannel retailers accounting for customer heterogeneity," International Journal of Production Economics, Elsevier, vol. 212(C), pages 155-167.
- Guan, Zhimin & Mou, Yuxia & Zhang, Jun, 2024. "Incorporating risk aversion and time preference into omnichannel retail operations considering assortment and inventory optimization," European Journal of Operational Research, Elsevier, vol. 314(2), pages 579-596.
- Doi, Naoshi, 2022. "A simple method to estimate discrete-type random coefficients logit models," International Journal of Industrial Organization, Elsevier, vol. 81(C).
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Keywords
Discrete choice models; Consumer demand; Consumer heterogeneity; Mixture models; Generalized multinomial logit; Discrete choice experiments;
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