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Testing the Accuracy, Usefulness, and Significance of Probabilistic Choice Models: An Information-Theoretic Approach

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Cited by:

  1. Shervin Shahrokhi Tehrani & Andrew T. Ching, 2024. "A Heuristic Approach to Explore: The Value of Perfect Information," Management Science, INFORMS, vol. 70(5), pages 3200-3224, May.
  2. Ali Aouad & Vivek Farias & Retsef Levi, 2021. "Assortment Optimization Under Consider-Then-Choose Choice Models," Management Science, INFORMS, vol. 67(6), pages 3368-3386, June.
  3. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
  4. Peterson, Mark & Feldman, David, 2018. "Citizen preferences for possible energy policies at the national and state levels," Energy Policy, Elsevier, vol. 121(C), pages 80-91.
  5. Daria Dzyabura & John R. Hauser, 2011. "Active Machine Learning for Consideration Heuristics," Marketing Science, INFORMS, vol. 30(5), pages 801-819, September.
  6. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
  7. Hauser, John R., 1981. "Consumer analysis to evaluate R&D projects," Working papers 1245-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  8. Jorge González-Chapela, 2010. "Things that make us different: analysis of variance in the use of time," Working Papers. Serie AD 2010-18, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  9. Yasemin Bal Gündüz, 2009. "Estimating Demand for IMF Financing by Low-Income Countries in Response to Shocks," IMF Working Papers 2009/263, International Monetary Fund.
  10. De Pinto, Alessandro & Nelson, Gerald C., 2006. "Assessing the Robustness of Predictions in Spatially Explicit Models of Land Use," 2006 Annual meeting, July 23-26, Long Beach, CA 21307, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  11. John R. Hauser & Glen L. Urban & Guilherme Liberali & Michael Braun, 2009. "Website Morphing," Marketing Science, INFORMS, vol. 28(2), pages 202-223, 03-04.
  12. Daria Dzyabura & Siham El Kihal & John R. Hauser & Marat Ibragimov, 2023. "Leveraging the Power of Images in Managing Product Return Rates," Marketing Science, INFORMS, vol. 42(6), pages 1125-1142, November.
  13. Yi-Chun Akchen & Dmitry Mitrofanov, 2023. "Consider or Choose? The Role and Power of Consideration Sets," Papers 2302.04354, arXiv.org, revised Jun 2024.
  14. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(1), pages 35-50, January.
  15. Mokhtarian, Patricia L., 2016. "Discrete choice models’ ρ2: A reintroduction to an old friend," Journal of choice modelling, Elsevier, vol. 21(C), pages 60-65.
  16. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
  17. John Hauser, 2011. "A marketing science perspective on recognition-based heuristics (and the fast-and-frugal paradigm)," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(5), pages 396-408, July.
  18. Sieds, 2012. "Complete Volume LXVI n.2 2012," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 1-249.
  19. repec:cup:judgdm:v:6:y:2011:i:5:p:396-408 is not listed on IDEAS
  20. Gerard J. Tellis & Stefan Stremersch & Eden Yin, 2003. "The International Takeoff of New Products: The Role of Economics, Culture, and Country Innovativeness," Marketing Science, INFORMS, vol. 22(2), pages 188-208, October.
  21. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
  22. Agarwal, Rajshree & Bayus, Barry L., 2002. "The Market Evolution and Sales Take-Off of Product Innovations," Working Papers 02-0104, University of Illinois at Urbana-Champaign, College of Business.
  23. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," Working Papers 2020-13, Becker Friedman Institute for Research In Economics.
  24. Ku, Yu-Cheng & Wu, John, 2018. "Measuring respondent uncertainty in discrete choice experiments via utility suppression," Journal of choice modelling, Elsevier, vol. 27(C), pages 1-18.
  25. Mokhtarian, Patricia L. & Bagley, Michael N., 2000. "Modeling employees' perceptions and proportional preferences of work locations: the regular workplace and telecommuting alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 223-242, May.
  26. Stephan Seiler, 2010. "The impact of search costs on consumer behavior: a dynamic approach," 2010 Meeting Papers 559, Society for Economic Dynamics.
  27. Xinyu Cao & Yingling Fan, 2012. "Exploring the Influences of Density on Travel Behavior Using Propensity Score Matching," Environment and Planning B, , vol. 39(3), pages 459-470, June.
  28. Peter M. Guadagni & John D. C. Little, 2008. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 27(1), pages 29-48, 01-02.
  29. Brockett, Patrick L. & Charnes, Abraham & Cooper, William W. & Learner, David & Phillips, Fred Y., 1995. "Information theory as a unifying statistical approach for use in marketing research," European Journal of Operational Research, Elsevier, vol. 84(2), pages 310-329, July.
  30. Alex Burnap & John Hauser, 2018. "Predicting "Design Gaps" in the Market: Deep Consumer Choice Models under Probabilistic Design Constraints," Papers 1812.11067, arXiv.org.
  31. Pilli, Luis & Swait, Joffre & Mazzon, José Afonso, 2022. "Jeopardizing brand profitability by misattributing process heterogeneity to preference heterogeneity," Journal of choice modelling, Elsevier, vol. 43(C).
  32. Narwa, Daniel, 2001. "How general should the proximity model be?," European Journal of Political Economy, Elsevier, vol. 17(1), pages 53-74, March.
  33. Elrod, Terry & Keane, Michael, 1995. "A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data," MPRA Paper 52434, University Library of Munich, Germany.
  34. Jerath, Kinshuk & Fader, Peter S. & Hardie, Bruce G.S., 2016. "Customer-base analysis using repeated cross-sectional summary (RCSS) data," European Journal of Operational Research, Elsevier, vol. 249(1), pages 340-350.
  35. Liberali, Guilherme & Urban, Glen L. & Hauser, John R., 2013. "Competitive information, trust, brand consideration and sales: Two field experiments," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 101-113.
  36. Patricia L. Mokhtarian & Wei (Laura) Tang, 2013. "Trivariate probit models of pre-purchase/purchase shopping channel choice: clothing purchases in Northern California," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 12, pages 243-273, Edward Elgar Publishing.
  37. Gallego, Guillermo & Li, Anran & Truong, Van-Anh & Wang, Xinshang, 2020. "Approximation algorithms for product framing and pricing," LSE Research Online Documents on Economics 101983, London School of Economics and Political Science, LSE Library.
  38. 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.
  39. Gurumurthy, K. & Little, John D. C. & University of Texas at Dallas. Marketing Center., 2003. "A price response model developed from perceptual theories," Working papers 89-5, Massachusetts Institute of Technology (MIT), Sloan School of Management.
  40. Michael Yee & Ely Dahan & John R. Hauser & James Orlin, 2007. "Greedoid-Based Noncompensatory Inference," Marketing Science, INFORMS, vol. 26(4), pages 532-549, 07-08.
  41. William Zimmerman & Michael Berbaum, 1993. "Soviet military manpower policy in the Brezhnev era: Regime goals, social origins and ‘working the system’," Europe-Asia Studies, Taylor & Francis Journals, vol. 45(2), pages 281-302.
  42. Jonah Berger & Alan T. Sorensen & Scott J. Rasmussen, 2010. "Positive Effects of Negative Publicity: When Negative Reviews Increase Sales," Marketing Science, INFORMS, vol. 29(5), pages 815-827, 09-10.
  43. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
  44. Joseph Pancras, 2010. "A Framework to Determine the Value of Consumer Consideration Set Information for Firm Pricing Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 269-300, March.
  45. Peter J. Danaher & John H. Roberts & Ken Roberts & Alan Simpson, 2011. "Practice Prize Paper --Applying a Dynamic Model of Consumer Choice to Guide Brand Development at Jetstar Airways," Marketing Science, INFORMS, vol. 30(4), pages 586-594, July.
  46. Nitin Mehta & Jian Ni & Kannan Srinivasan & Baohong Sun, 2017. "A Dynamic Model of Health Insurance Choices and Healthcare Consumption Decisions," Marketing Science, INFORMS, vol. 36(3), pages 338-360, May.
  47. Marco Gallegati, 2012. "Destinations' competitiveness and tourist satisfaction surveys: an economic analysis," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 249-261.
  48. Woodside, Arch G. & Trappey, Randolph III, 2001. "Learning why some customers shop at less convenient stores," Journal of Business Research, Elsevier, vol. 54(2), pages 151-159, November.
  49. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  50. Rajshree Agarwal & Barry L. Bayus, 2002. "The Market Evolution and Sales Takeoff of Product Innovations," Management Science, INFORMS, vol. 48(8), pages 1024-1041, August.
  51. Yu-Cheng Ku & Tsun-Feng Chiang & Sheng-Mao Chang, 2017. "Is what you choose what you want?—outlier detection in choice-based conjoint analysis," Marketing Letters, Springer, vol. 28(1), pages 29-42, March.
  52. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
  53. Sun, Xing & Zhang, Daowei, 2020. "A theoretical and empirical analysis of joint forest production: Timber supply and amenity services," Forest Policy and Economics, Elsevier, vol. 115(C).
  54. Barwitz, Niklas, 2020. "The relevance of interaction choice: Customer preferences and willingness to pay," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
  55. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," NBER Working Papers 26795, National Bureau of Economic Research, Inc.
  56. Steiner, Michael & Wiegand, Nico & Eggert, Andreas & Backhaus, Klaus, 2016. "Platform adoption in system markets: The roles of preference heterogeneity and consumer expectations," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 276-296.
  57. John R. Hauser & Felix Eggers & Matthew Selove, 2019. "The Strategic Implications of Scale in Choice-Based Conjoint Analysis," Marketing Science, INFORMS, vol. 38(6), pages 1059-1081, November.
  58. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
  59. Jianan Wu & Arvind Rangaswamy, 2003. "A Fuzzy Set Model of Search and Consideration with an Application to an Online Market," Marketing Science, INFORMS, vol. 22(3), pages 411-434, March.
  60. Lebeau, Philippe & Macharis, Cathy & Van Mierlo, Joeri, 2016. "Exploring the choice of battery electric vehicles in city logistics: A conjoint-based choice analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 245-258.
  61. Jean-Pierre Dubé & Ali Hortaçsu & Joonhwi Joo, 2021. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," Marketing Science, INFORMS, vol. 40(4), pages 637-660, July.
  62. Colin Cameron, A. & Windmeijer, Frank A. G., 1997. "An R-squared measure of goodness of fit for some common nonlinear regression models," Journal of Econometrics, Elsevier, vol. 77(2), pages 329-342, April.
  63. Guillermo Gallego & Anran Li & Van-Anh Truong & Xinshang Wang, 2020. "Approximation Algorithms for Product Framing and Pricing," Operations Research, INFORMS, vol. 68(1), pages 134-160, January.
  64. Itzhak Gilboa & Amit Pazgal, 1995. "History Dependent Brand Switching: Theory and Evidence," Discussion Papers 1146, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  65. Hein, Maren & Kurz, Peter & Steiner, Winfried J., 2019. "On the effect of HB covariance matrix prior settings: A simulation study," Journal of choice modelling, Elsevier, vol. 31(C), pages 51-72.
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