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Embedding Decision Heuristics in Discrete Choice Models: A Review

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  1. Espinosa-Goded, María & Rodriguez-Entrena, Macario & Salazar-Ordóñez, Melania, 2021. "A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 211-226.
  2. Kazagli, Evanthia & de Lapparent, Matthieu, 2023. "A discrete choice modeling framework of heterogenous decision rules accounting for non-trading behavior," Journal of choice modelling, Elsevier, vol. 48(C).
  3. Kassie, Girma T. & Zeleke, Fresenbet & Birhanu, Mulugeta Y. & Scarpa, Riccardo, 2020. "Reminder Nudge, Attribute Nonattendance, and Willingness to Pay in a Discrete Choice Experiment," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304208, Agricultural and Applied Economics Association.
  4. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
  5. Fait, Larissa & Groh, Elke D. & Wetzel, Heike, 2022. "“I take the green one”: The choice of regional green electricity contracts in the light of regional and environmental identity," Energy Policy, Elsevier, vol. 163(C).
  6. Hensher, David A. & Balbontin, Camila & Collins, Andrew T., 2018. "Heterogeneity in decision processes: Embedding extremeness aversion, risk attitude and perceptual conditioning in multiple process rules choice making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 316-325.
  7. Damien Jourdain & Juliette Lairez & Bruno Striffler & François Affholder, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Review of Agricultural, Food and Environmental Studies, Springer, vol. 101(4), pages 417-437, December.
  8. Damien Jourdain1,2,3 & Juliette Lairez4,5 & Bruno Striffler & François Affholder, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 101(4), pages 417-437.
  9. Rodríguez-Entrena, Macario & Villanueva, Anastasio J. & Gómez-Limón, José A., 2017. "The effect of attribute non-attendance on choice experiments investigating agri-environmental scheme design," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261417, European Association of Agricultural Economists.
  10. David Hensher, 2014. "Attribute processing as a behavioural strategy in choice making," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 12, pages 268-289, Edward Elgar Publishing.
  11. Xin Nie & Hubin Ma & Sihan Chen & Kailu Li & Zhenhan Yu & Han Wang & Zhuxia Wei, 2024. "Offshore Wind Farms and Tourism Development Relationship to Energy Distribution Justice for the Beibu Gulf, China," Land, MDPI, vol. 13(5), pages 1-23, May.
  12. 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.
  13. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," Journal of choice modelling, Elsevier, vol. 16(C), pages 43-49.
  14. 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.
  15. Jourdain, Damien & Lairez, Juliette & Striffler, Bruno & Affholder, François, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 101(4), March.
  16. Follett, Lendie & Naald, Brian Vander, 2023. "Heterogeneity in choice experiment data: A Bayesian investigation," Journal of choice modelling, Elsevier, vol. 46(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. Mark J. Koetse, 2017. "Effects of payment vehicle non-attendance in choice experiments on value estimates and the WTA–WTP disparity," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(3), pages 225-245, July.
  19. 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.
  20. 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.
  21. 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.
  22. Moser, Riccarda & Raffaelli, Roberta, 2014. "Does attribute cut-off elicitation affect choice consistency? Contrasting hypothetical and real-money choice experiments," Journal of choice modelling, Elsevier, vol. 11(C), pages 16-29.
  23. 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.
  24. 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.
  25. Nisheeth Srivastava & Paul Schrater, 2015. "Learning What to Want: Context-Sensitive Preference Learning," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-21, October.
  26. Chorus, Caspar G. & Pudāne, Baiba & Mouter, Niek & Campbell, Danny, 2018. "Taboo trade-off aversion: A discrete choice model and empirical analysis," Journal of choice modelling, Elsevier, vol. 27(C), pages 37-49.
  27. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.
  28. Fait, Larissa & Wetzel, Heike & Groh, Elke D., 2020. "Choice Preferences for Regional and Green Electricity: Influence of Regional and Environmental Identity," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224574, Verein für Socialpolitik / German Economic Association.
  29. Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).
  30. Damien Jourdain & Juliette Lairez & Bruno Striffler & François Affholder, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Post-Print hal-02995632, HAL.
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