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A Random Regret Minimization-based Discrete Choice Model

In: Random Regret-based Discrete Choice Modeling

Author

Listed:
  • Caspar G. Chorus

    (Delft University of Technology)

Abstract

This Chapter presents the RRM-model. First, the Random Regret-function is presented and explained (Sect. 2.1). Subsequently, this function is compared with the classical linear-additive Random Utility-function (Sect. 2.2). Finally, it is shown how the Random Regret-function translates into MNL-type choice probabilities for a particular distribution of the random error terms (Sect. 2.3).

Suggested Citation

  • Caspar G. Chorus, 2012. "A Random Regret Minimization-based Discrete Choice Model," SpringerBriefs in Business, in: Random Regret-based Discrete Choice Modeling, edition 127, chapter 0, pages 5-15, Springer.
  • Handle: RePEc:spr:spbrcp:978-3-642-29151-7_2
    DOI: 10.1007/978-3-642-29151-7_2
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    Citations

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    Cited by:

    1. Geržinič, Nejc & van Cranenburgh, Sander & Cats, Oded & Lancsar, Emily & Chorus, Caspar, 2021. "Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment," Journal of choice modelling, Elsevier, vol. 41(C).
    2. Mehdizadeh, Milad & Nordfjaern, Trond & Klöckner, Christian A., 2022. "A systematic review of the agent-based modelling/simulation paradigm in mobility transition," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Rosa Marina González & Concepción Román & Ángel Simón Marrero, 2021. "Values of Travel Time for Recreational Trips under Different Behavioural Rules," Sustainability, MDPI, vol. 13(12), pages 1-16, June.
    4. Sunghoon Jang & Soora Rasouli & Harry Timmermans, 2018. "Accounting for cognitive effort in random regret-only models: Effect of attribute variation and choice set size," Environment and Planning B, , vol. 45(5), pages 842-863, September.
    5. John Buckell & Vrinda Vasavada & Sarah Wordsworth & Dean A. Regier & Matthew Quaife, 2022. "Utility maximization versus regret minimization in health choice behavior: Evidence from four datasets," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 363-381, February.
    6. David A. J. Meester & Stephane Hess & John Buckell & Thomas O. Hancock, 2023. "Can decision field theory enhance our understanding of health‐based choices? Evidence from risky health behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 32(8), pages 1710-1732, August.
    7. Giovanna Piracci & Fabio Boncinelli & Leonardo Casini, 2023. "Investigating Consumer Preferences for Sustainable Packaging Through a Different Behavioural Approach: A Random Regret Minimization Application," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 1-27, October.

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