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New insights on random regret minimization models

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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. Bujosa Bestard, Angel & Riera Font, Antoni, 2021. "Attribute range effects: Preference anomaly or unexplained variance?," Journal of choice modelling, Elsevier, vol. 41(C).
  3. Caspar G. Chorus & Sander Cranenburgh, 2018. "Specification of regret-based models of choice behaviour: formal analyses and experimental design based evidence—commentary," Transportation, Springer, vol. 45(1), pages 247-256, January.
  4. Michela Faccioli & Laure Kuhfuss & Mikołaj Czajkowski, 2019. "Stated Preferences for Conservation Policies Under Uncertainty: Insights on the Effect of Individuals’ Risk Attitudes in the Environmental Domain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(2), pages 627-659, June.
  5. Guevara, C. Angelo & Fukushi, Mitsuyoshi, 2016. "Modeling the decoy effect with context-RUM Models: Diagrammatic analysis and empirical evidence from route choice SP and mode choice RP case studies," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 318-337.
  6. Bliemer, Michiel C.J. & Rose, John M. & Chorus, Caspar G., 2017. "Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 83-104.
  7. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
  8. Luan, Siliang & Yang, Qingfang & Jiang, Zhongtai & Wang, Wei, 2021. "Exploring the impact of COVID-19 on individual's travel mode choice in China," Transport Policy, Elsevier, vol. 106(C), pages 271-280.
  9. Alwosheel, Ahmad & van Cranenburgh, Sander & Chorus, Caspar G., 2018. "Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 28(C), pages 167-182.
  10. 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.
  11. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2019. "How to better represent preferences in choice models: The contributions to preference heterogeneity attributable to the presence of process heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 218-248.
  12. Hancock, Thomas O. & Hess, Stephane & Choudhury, Charisma F., 2018. "Decision field theory: Improvements to current methodology and comparisons with standard choice modelling techniques," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 18-40.
  13. 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.
  14. Mai, Tien & Bastin, Fabian & Frejinger, Emma, 2017. "On the similarities between random regret minimization and mother logit: The case of recursive route choice models," Journal of choice modelling, Elsevier, vol. 23(C), pages 21-33.
  15. Follett, Lendie & Naald, Brian Vander, 2023. "Heterogeneity in choice experiment data: A Bayesian investigation," Journal of choice modelling, Elsevier, vol. 46(C).
  16. Gonzalez-Valdes, Felipe & Heydecker, Benjamin G. & Ortúzar, Juan de Dios, 2022. "Quantifying behavioural difference in latent class models to assess empirical identifiability: Analytical development and application to multiple heuristics," Journal of choice modelling, Elsevier, vol. 43(C).
  17. Chorus, Caspar G., 2015. "Models of moral decision making: Literature review and research agenda for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 16(C), pages 69-85.
  18. van Cranenburgh, Sander & Prato, Carlo G., 2016. "On the robustness of random regret minimization modelling outcomes towards omitted attributes," Journal of choice modelling, Elsevier, vol. 18(C), pages 51-70.
  19. Marley, A.A.J. & Swait, J., 2017. "Goal-based models for discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 72-88.
  20. Gonzalez-Valdes, Felipe & Raveau, Sebastián, 2018. "Identifying the presence of heterogeneous discrete choice heuristics at an individual level," Journal of choice modelling, Elsevier, vol. 28(C), pages 28-40.
  21. van Cranenburgh, Sander & Meyerhoff, Jürgen & Rehdanz, Katrin & Wunsch, Andrea, 2024. "On the impact of decision rule assumptions in experimental designs on preference recovery: An application to climate change adaptation measures," Journal of choice modelling, Elsevier, vol. 50(C).
  22. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2017. "Is there a systematic relationship between random parameters and process heuristics?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 160-177.
  23. Álvaro A. Gutiérrez Vargas & Michel Meulders & Martina Vandebroek, 2020. "randregret: A command for fitting Random Regret Minimization Models," London Stata Conference 2020 13, Stata Users Group.
  24. Peng Jing & Mengxuan Zhao & Meiling He & Long Chen, 2018. "Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
  25. van Cranenburgh, Sander & Collins, Andrew T., 2019. "New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules," Journal of choice modelling, Elsevier, vol. 31(C), pages 104-123.
  26. Bibhuti Sharma & Mark Hickman & Neema Nassir, 2019. "Park-and-ride lot choice model using random utility maximization and random regret minimization," Transportation, Springer, vol. 46(1), pages 217-232, February.
  27. Haghani, Milad & Sarvi, Majid, 2019. "Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 134-157.
  28. van Cranenburgh, Sander & Chorus, Caspar G., 2018. "Does the decision rule matter for large-scale transport models?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 338-353.
  29. Boeri, Marco & Longo, Alberto, 2017. "The importance of regret minimization in the choice for renewable energy programmes: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 63(C), pages 253-260.
  30. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
  31. Tian, Qi & Zhao, Jinhua, 2018. "Regret Minimization in Decision Making: Implications for Choice Modeling and Policy Design," 2018 Annual Meeting, August 5-7, Washington, D.C. 274016, Agricultural and Applied Economics Association.
  32. Ziyue Zhu & 'Alvaro A. Guti'errez-Vargas & Martina Vandebroek, 2023. "Fitting mixed logit random regret minimization models using maximum simulated likelihood," Papers 2301.01091, arXiv.org.
  33. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).
  34. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.
  35. Mahmud, Asif & Gayah, Vikash V. & Paleti, Rajesh, 2022. "A latent choice model to analyze the role of preliminary preferences in shaping observed choices," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 95-108.
  36. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.
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