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Risk, Uncertainty and Discrete Choice Models

Citations

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Cited by:

  1. Baillon, Aurélien & Koellinger, Philipp D. & Treffers, Theresa, 2016. "Sadder but wiser: The effects of emotional states on ambiguity attitudes," Journal of Economic Psychology, Elsevier, vol. 53(C), pages 67-82.
  2. Bertrand, Philippe & Prigent, Jean-luc, 2019. "On the optimality of path-dependent structured funds: The cost of standardization," European Journal of Operational Research, Elsevier, vol. 277(1), pages 333-350.
  3. Borgonovo, Emanuele & Marinacci, Massimo, 2015. "Decision analysis under ambiguity," European Journal of Operational Research, Elsevier, vol. 244(3), pages 823-836.
  4. Dimitrije Marković & Jan Gläscher & Peter Bossaerts & John O’Doherty & Stefan J Kiebel, 2015. "Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-34, October.
  5. de Moraes Ramos, Giselle & Daamen, Winnie & Hoogendoorn, Serge, 2013. "Modelling travellers' heterogeneous route choice behaviour as prospect maximizers," Journal of choice modelling, Elsevier, vol. 6(C), pages 17-33.
  6. Du, Jianwei & Cui, Jialei & Ren, Gang & Thompson, Russell G. & Zhang, Lele, 2025. "Cascading failures and resilience evolution in urban road traffic networks with bounded rational route choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 664(C).
  7. Xiao, Yu & Fukuda, Daisuke, 2015. "On the cost of misperceived travel time variability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 96-112.
  8. Nguyen, Quang, 2009. "Do fishermen have different preferences?: Insights from an experimental study and household data," MPRA Paper 16012, University Library of Munich, Germany.
  9. Kemel, Emmanuel & Paraschiv, Corina, 2013. "Prospect Theory for joint time and money consequences in risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 81-95.
  10. Sara Amoroso & Pietro Moncada-Paternò-Castello & Antonio Vezzani, 2017. "R&D profitability: the role of risk and Knightian uncertainty," Small Business Economics, Springer, vol. 48(2), pages 331-343, February.
  11. Wang, Shenhao & Zhao, Jinhua, 2019. "Risk preference and adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 215-229.
  12. Börjesson, Maria & Eliasson, Jonas, 2011. "On the use of "average delay" as a measure of train reliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 171-184, March.
  13. André de Palma & Robin Lindsey & Nathalie Picard, 2012. "Risk Aversion, the Value of Information, and Traffic Equilibrium," Transportation Science, INFORMS, vol. 46(1), pages 1-26, February.
  14. Manley, E.J. & Addison, J.D. & Cheng, T., 2015. "Shortest path or anchor-based route choice: a large-scale empirical analysis of minicab routing in London," Journal of Transport Geography, Elsevier, vol. 43(C), pages 123-139.
  15. Greene, David L., 2011. "Uncertainty, loss aversion, and markets for energy efficiency," Energy Economics, Elsevier, vol. 33(4), pages 608-616, July.
  16. Vojtěch Menzl, 2021. "Alternative Views on the Link between Risk Aversion and Diminishing Marginal Utility of Wealth," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2021(2), pages 51-72.
  17. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
  18. Foster, Gigi & Frijters, Paul & Schaffner, Markus & Torgler, Benno, 2018. "Expectation formation in an evolving game of uncertainty: New experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 379-405.
  19. Glenk, Klaus & Colombo, Sergio, 2013. "Modelling Outcome-Related Risk in Choice Experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-20.
  20. Gigi Foster & Paul Frijters & Markus Schaffner & Benno Torgler, 2013. "Expectation Formation in an Evolving Game of Uncertainty: Theory and New Experimental Evidence," CREMA Working Paper Series 2013-19, Center for Research in Economics, Management and the Arts (CREMA).
  21. Qi, Jin & Sim, Melvyn & Sun, Defeng & Yuan, Xiaoming, 2016. "Preferences for travel time under risk and ambiguity: Implications in path selection and network equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 264-284.
  22. Pallab Mozumder & William F. Vásquez, 2018. "Understanding Hurricane Evacuation Decisions Under Contingent Scenarios: A Stated Preference Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 407-425, October.
  23. Papola, Andrea & Tinessa, Fiore & Marzano, Vittorio, 2018. "Application of the Combination of Random Utility Models (CoRUM) to route choice," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 304-326.
  24. Paolo VERME, 2016. "The Economics Of Forced Displacement: An Introduction," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 44, pages 141-163.
  25. Angela Robinson & Anne Spencer & Peter Moffatt, 2015. "A Framework for Estimating Health State Utility Values within a Discrete Choice Experiment," Medical Decision Making, , vol. 35(3), pages 341-350, April.
  26. Emmanuel Kemel & Muriel Travers, 2016. "Comparing attitudes toward time and toward money in experience-based decisions," Theory and Decision, Springer, vol. 80(1), pages 71-100, January.
  27. Alessandra Cillo & Marco Bonetti & Giovanni Burro & Clelia Di Serio & Roberta De Filippis & Riccardo Maria Martoni, 2019. "Neurocognitive assessment in obsessive compulsive disorder patients: Adherence to behavioral decision models," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-16, February.
  28. Börjesson, Maria & Eliasson, Jonas, 2014. "Experiences from the Swedish Value of Time study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 144-158.
  29. Wang, Shenhao & Mo, Baichuan & Zhao, Jinhua, 2021. "Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 333-358.
  30. Ignacio A. Inoa & Nathalie Picard & André de Palma, 2013. "Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model," Thema Working Papers 2013-02, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
  31. Liya Guo & Shan Huang & Jun Zhuang & Adel Sadek, 2013. "Modeling Parking Behavior Under Uncertainty: A Static Game Theoretic versus a Sequential Neo-additive Capacity Modeling Approach," Networks and Spatial Economics, Springer, vol. 13(3), pages 327-350, September.
  32. André, Eric, 2014. "Optimal portfolio with vector expected utility," Mathematical Social Sciences, Elsevier, vol. 69(C), pages 50-62.
  33. Silberhorn, Nadja & Hildebrandt, Lutz, 2009. "Is cross-category brand loyalty determined by risk aversion?," SFB 649 Discussion Papers 2009-061, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  34. Markus Glatt & Roy Brouwer & Ivana Logar, 2019. "Combining Risk Attitudes in a Lottery Game and Flood Risk Protection Decisions in a Discrete Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1533-1562, December.
  35. Herriges, Joseph A. & Bhattacharjee, Subhra & Kling, Catherine L., 2011. "Capturing preferences under incomplete scenarios using elicited choice probabilities," ISU General Staff Papers 201103230700001093, Iowa State University, Department of Economics.
  36. André de Palma & Nathalie Picard & Jean-Luc Prigent, 2010. "Eliciting Utility for (Non)Expected Utility Preferences Using Invariance Transformations," Working Papers hal-00517726, HAL.
  37. Quang Nguyen, 2011. "Does nurture matter: Theory and experimental investigation on the effect of working environment on risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 245-270, December.
  38. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
  39. Christian Schlereth & Christine Eckert & Bernd Skiera, 2012. "Using discrete choice experiments to estimate willingness-to-pay intervals," Marketing Letters, Springer, vol. 23(3), pages 761-776, September.
  40. Serge Garcia & Katrin Erdlenbruch & Boniface Derrick Mbarga, 2024. "A discrete choice experiment to measure the impact of flood risk information on residential location choices [Une expérience de choix discrets pour mesurer l'impact de l'information sur les risques," Working Papers hal-04594157, HAL.
  41. André de Palma & Nathalie Picard & Jean-Luc Prigent, 2009. "Prise en compte de l'attitude face au risque dans le cadre de la directive MiFID," Working Papers hal-00418892, HAL.
  42. Tarik Driouchi & Lenos Trigeorgis & Raymond H. Y. So, 2018. "Option implied ambiguity and its information content: Evidence from the subprime crisis," Annals of Operations Research, Springer, vol. 262(2), pages 463-491, March.
  43. Ignacio A. Inoa & Nathalie Picard & Andr� de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Mathematical Population Studies, Taylor & Francis Journals, vol. 22(1), pages 4-36, March.
  44. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
  45. Navid Khademi & Mojtaba Rajabi & Afshin S. Mohaymany & Mahdi Samadzad, 2016. "Day-to-day travel time perception modeling using an adaptive-network-based fuzzy inference system (ANFIS)," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 25-52, March.
  46. André De Palma & Nathalie Picard & Matthieu De Lapparent, 2014. "Risky Time Prospects and Travel Demand," Mathematical Population Studies, Taylor & Francis Journals, vol. 21(4), pages 185-188, December.
  47. Giselle Moraes Ramos & Winnie Daamen & Serge Hoogendoorn, 2014. "A State-of-the-Art Review: Developments in Utility Theory, Prospect Theory and Regret Theory to Investigate Travellers' Behaviour in Situations Involving Travel Time Uncertainty," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 46-67, January.
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