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Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis

Citations

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Cited by:

  1. Danaf, Mazen & Guevara, C. Angelo & Ben-Akiva, Moshe, 2023. "A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems," Journal of choice modelling, Elsevier, vol. 46(C).
  2. Bechler, Georg & Steinhardt, Claudius & Mackert, Jochen & Klein, Robert, 2021. "Product line optimization in the presence of preferences for compromise alternatives," European Journal of Operational Research, Elsevier, vol. 288(3), pages 902-917.
  3. Giovanni B. Concu & Claudio Detotto & Marco Vannini, 2021. "Drivers of intentions and drivers of actions: willingness toparticipate versus actual participation in fire management inSardinia, Italy," Working Papers 018, Laboratoire Lieux, Identités, eSpaces et Activités (LISA).
  4. Danaf, Mazen & Atasoy, Bilge & de Azevedo, Carlos Lima & Ding-Mastera, Jing & Abou-Zeid, Maya & Cox, Nathaniel & Zhao, Fang & Ben-Akiva, Moshe, 2019. "Context-aware stated preferences with smartphone-based travel surveys," Journal of choice modelling, Elsevier, vol. 31(C), pages 35-50.
  5. Chiara Paffarini & Biancamaria Torquati & Tiziano Tempesta & Sonia Venanzi & Daniel Vecchiato, 2021. "Rural sustainability and food choice: the effect of territorial characteristics on the consumers’ preferences for organic lentils," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-23, December.
  6. Dukovska, Irena & Slootweg, J.G. (Han) & Paterakis, Nikolaos G., 2023. "Introducing user preferences for peer-to-peer electricity trading through stochastic multi-objective optimization," Applied Energy, Elsevier, vol. 338(C).
  7. Li, Zili & Washington, Simon P. & Zheng, Zuduo & Prato, Carlo G., 2023. "A Bayesian hierarchical approach to the joint modelling of Revealed and stated choices," Journal of choice modelling, Elsevier, vol. 47(C).
  8. Meles, Tensay Hadush & Ryan, Lisa & Mukherjee, Sanghamitra C., 2022. "Heterogeneity in preferences for renewable home heating systems among Irish households," Applied Energy, Elsevier, vol. 307(C).
  9. le Maitre, Julia & Ryan, Geraldine & Power, Bernadette & Sirr, Gordon, 2024. "Mechanisms to promote household investment in wind energy: A national experimental survey," Renewable Energy, Elsevier, vol. 220(C).
  10. repec:oup:rseval:v:32:y:2024:i:2:p:171-187. is not listed on IDEAS
  11. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
  12. Jeff Tjiong & Thijs Dekker & Stephane Hess & Marek Giergiczny & Manuel Ojeda-Cabral & Mikołaj Czajkowski, 2026. "Know Thyself: Capturing zero-price effects in stated choice surveys: implications for willingness-to-pay and welfare," Working Papers 2026-15, Faculty of Economic Sciences, University of Warsaw.
  13. Charles F. Manski, 2021. "Econometrics for Decision Making: Building Foundations Sketched by Haavelmo and Wald," Econometrica, Econometric Society, vol. 89(6), pages 2827-2853, November.
  14. Poulter, Helen & Bolton, Ronan, 2023. "Embedding broader values in the regulatory model: An analysis of Ofgem's consumer value proposition for the natural gas distribution sector," Utilities Policy, Elsevier, vol. 80(C).
  15. 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.
  16. Tsouros, Ioannis & Tsirimpa, Athena & Pagoni, Ioanna & Polydoropoulou, Amalia, 2021. "MaaS users: Who they are and how much they are willing-to-pay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 470-480.
  17. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
  18. Oindrila Dey & Debalina Chakravarty, 2020. "Electric Street Car as a Clean Public Transport Alternative: A Choice Experiment Approach," Working Papers 2042, Indian Institute of Foreign Trade.
  19. Els Bekaert & Amelie F. Constant & Killian Foubert & Ilse Ruyssen, 2021. "Longing for Which Home: Evidence from Global Aspirations to Stay, Return or Migrate Onwards," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1028, Ghent University, Faculty of Economics and Business Administration.
  20. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimaging," Journal of choice modelling, Elsevier, vol. 41(C).
  21. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
  22. Ahmad Kotaem & Nobuaki Ohmori & Ahmed Mosa, 2025. "Developing a Comprehensive Survey System for Assessing MaaS Impacts on Travel Behavior: Design, Implementation, and Descriptive Insights," Sustainability, MDPI, vol. 17(18), pages 1-29, September.
  23. Daniel Oviedo & Isabel Granada & Daniel Perez-Jaramillo, 2020. "Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogotá," Sustainability, MDPI, vol. 12(5), pages 1-16, February.
  24. Xinyu Cao & Juanjuan Zhang, 2021. "Preference Learning and Demand Forecast," Marketing Science, INFORMS, vol. 40(1), pages 62-79, January.
  25. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
  26. Víctor Gómez-Valenzuela, 2023. "Stated preference methods and STI policy studies: a foreground approach," Research Evaluation, Oxford University Press, vol. 32(2), pages 171-187.
  27. Tiziano Tempesta & Daniel Vecchiato & Federico Nassivera & Maria Bugatti & Biancamaria Torquati, 2019. "Consumers Demand for Social Farming Products: An Analysis with Discrete Choice Experiments," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
  28. 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).
  29. Pachali, Max & Kurz, Peter & Otter, Thomas, 2023. "Omitted budget constraint bias and implications for competitive pricing," Other publications TiSEM 3a3eeaa6-6e7f-4a63-b800-0, Tilburg University, School of Economics and Management.
  30. Youssef M Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2020. "Sparse Covariance Estimation in Logit Mixture Models," Papers 2001.05034, arXiv.org.
  31. Stefania Troiano & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Federico Nassivera, 2019. "Households’ Preferences for a New ‘Climate-Friendly’ Heating System: Does Contribution to Reducing Greenhouse Gases Matter?," Energies, MDPI, vol. 12(13), pages 1-19, July.
  32. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
  33. Molloy, Joseph & Becker, Felix & Schmid, Basil & Axhausen, Kay W., 2021. "mixl: An open-source R package for estimating complex choice models on large datasets," Journal of choice modelling, Elsevier, vol. 39(C).
  34. Fangqing Song & Stephane Hess & Thijs Dekker, 2024. "Uncovering the link between intra-individual heterogeneity and variety seeking: the case of new shared mobility," Transportation, Springer, vol. 51(2), pages 371-406, April.
  35. Krueger, Rico & Bierlaire, Michel & Daziano, Ricardo A. & Rashidi, Taha H. & Bansal, Prateek, 2021. "Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity," Journal of choice modelling, Elsevier, vol. 41(C).
  36. Michiel Bijlsma & Carin Cruijsen & Nicole Jonker, 2023. "Consumer Willingness to Share Payments Data: Trust for Sale?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(1), pages 41-80, August.
  37. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
  38. Tiziano Tempesta & Daniel Vecchiato, 2019. "Analysis of the Factors that Influence Olive Oil Demand in the Veneto Region (Italy)," Agriculture, MDPI, vol. 9(7), pages 1-17, July.
  39. Beata Woźniak-Jęchorek, 2023. "Experiments in Modern Economics – Expansion and Technological and Institutional Innovations in the U.S," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 1, pages 78-101.
  40. Krueger, Rico & Daziano, Ricardo A., 2022. "Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral," Journal of choice modelling, Elsevier, vol. 45(C).
  41. 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.
  42. Gabriella Conti & Pamela Giustinelli, 2025. "For Better or Worse? Subjective Expectations and Cost‐Benefit Trade‐Offs in Health Behavior: An Application to Lockdown Compliance in the United Kingdom," Health Economics, John Wiley & Sons, Ltd., vol. 34(5), pages 992-1012, May.
  43. Lingling Xu & Xixi Yang & Linhai Wu & Xiujuan Chen & Lu Chen & Fu-Sheng Tsai, 2019. "Consumers’ Willingness to Pay for Food with Information on Animal Welfare, Lean Meat Essence Detection, and Traceability," IJERPH, MDPI, vol. 16(19), pages 1-22, September.
  44. Szabó, Andrea & Pham, Vinh, 2022. "Net neutrality and consumer demand in the video on-demand market," Information Economics and Policy, Elsevier, vol. 61(C).
  45. Jamal Mamkhezri & Jennifer A. Thacher & Janie M. Chermak, 2020. "Consumer Preferences for Solar Energy: A Choice Experiment Study," The Energy Journal, , vol. 41(5), pages 157-184, September.
  46. Russo, Francesco & Musolino, Giuseppe & Sgro, Domenico, 2026. "Estimating run choice models with innovative data collection: day-to-day tickets evolution in High Speed Rail," Transport Policy, Elsevier, vol. 176(C).
  47. Hung, Cheng-Yu & Kurz, Peter & Bailey, Roger A. & Huber, Joel & Allenby, Greg M., 2025. "Re-examining the no-choice option in conjoint analysis," Journal of choice modelling, Elsevier, vol. 57(C).
  48. Bansal, Prateek & Krueger, Rico & Bierlaire, Michel & Daziano, Ricardo A. & Rashidi, Taha H., 2020. "Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 124-142.
  49. Oussama Raboun & Eric Chojnacki & Alexis Tsoukiàs, 2023. "Dynamic-R: a “challenge-free” method for rating problem statements," Annals of Operations Research, Springer, vol. 325(2), pages 845-873, June.
  50. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
  51. Ghaderi, Mohammad & Kadziński, Miłosz, 2021. "Incorporating uncovered structural patterns in value functions construction," Omega, Elsevier, vol. 99(C).
  52. Liu, Jiapeng & Wang, Yan & Kadziński, Miłosz & Mao, Xiaoxin & Rao, Yuan, 2024. "A multiple criteria Bayesian hierarchical model for analyzing heterogeneous consumer preferences," Omega, Elsevier, vol. 128(C).
  53. Sinclair, Andrew, 2023. "Assessing the benefits of high-speed broadband: Lessons from Australia's National Broadband Network (NBN)," Information Economics and Policy, Elsevier, vol. 65(C).
  54. Letmathe, Peter & Sperling, Dustin & Woeste, Richard, 2025. "Consumer preferences for public EV charging tariffs and infrastructure reliability: A choice experiment," Transport Policy, Elsevier, vol. 170(C), pages 147-162.
  55. Gabriella Conti & Pamela Giustinelli, 2023. "For better or worse? Subjective expectations and cost-benefit trade-offs in health behavior," IFS Working Papers W23/19, Institute for Fiscal Studies.
  56. Jonathan Sicsic & Serge Blondel & Sandra Chyderiotis & François Langot & Judith E. Mueller, 2023. "Preferences for COVID-19 epidemic control measures among French adults: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 81-98, February.
  57. Manuel Garcia & Carlos Carpio & Darren Hudson & Tullaya Boonsaeng & Chenggang Wang, 2024. "Mexican consumers' perceptions and preferences for US and Texas beef," Agribusiness, John Wiley & Sons, Ltd., vol. 40(4), pages 727-748, October.
  58. Khan, Rana Asad Javid & Thaheem, Muhammad Jamaluddin & Ali, Tauha Hussain, 2020. "Are Pakistani homebuyers ready to adopt sustainable housing? An insight into their willingness to pay," Energy Policy, Elsevier, vol. 143(C).
  59. Matthew C. Walsman, 2022. "Operational Adaptation and Innovation During COVID-19: Lessons Learned from Consulting and a Road Map for the Future," Service Science, INFORMS, vol. 14(2), pages 195-212, June.
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