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On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths

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  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. Hess, Stephane & Train, Kenneth, 2017. "Correlation and scale in mixed logit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 1-8.
  3. Daruwala, Farhad & Denton, Frank T. & Mountain, Dean C., 2020. "One size may not fit all: Welfare benefits and cost reductions with optional differentiated household electricity rates," Resource and Energy Economics, Elsevier, vol. 61(C).
  4. Johnson, F. Reed & Ozdemir, Semra & Phillips, Kathryn A., 2010. "Effects of simplifying choice tasks on estimates of taste heterogeneity in stated-choice surveys," Social Science & Medicine, Elsevier, vol. 70(2), pages 183-190, January.
  5. Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Jeffrey Englin, 2019. "The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 961-984, November.
  6. Mueller, Milton L. & Park, Yuri & Lee, Jongsu & Kim, Tai-Yoo, 2006. "Digital identity: How users value the attributes of online identifiers," Information Economics and Policy, Elsevier, vol. 18(4), pages 405-422, November.
  7. Francisco Javier Amador & Rosa Marina González & Juan de Dios Ortúzar, 2004. "Preference heterogeneity and willingness to pay for travel time," Documentos de trabajo conjunto ULL-ULPGC 2004-12, Facultad de Ciencias Económicas de la ULPGC.
  8. Lee, Hye-Jeong & Yoo, Seung-Hoon & Lim, Sesil & Huh, Sung-Yoon, 2023. "External benefits of a road transportation system with vehicle-to-everything communications," Transport Policy, Elsevier, vol. 134(C), pages 128-138.
  9. Daniele Pacifico & Hong il Yoo, 2012. "A Stata module for estimating latent class conditional logit models via the Expectation-Maximization algorithm," Discussion Papers 2012-49, School of Economics, The University of New South Wales.
  10. Daniele Pacifico, 2012. "Fitting nonparametric mixed logit models via expectation-maximization algorithm," Stata Journal, StataCorp LP, vol. 12(2), pages 284-298, June.
  11. Boeri, Marco & Scarpa, Riccardo & Chorus, Caspar G., 2014. "Stated choices and benefit estimates in the context of traffic calming schemes: Utility maximization, regret minimization, or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 121-135.
  12. Berck, Peter & Sears, Molly & Taylor, Rebecca L.C. & Trachtman, Carly & Villas-Boas, Sofia B., 2024. "Reduce, reuse, redeem: Deposit-refund recycling programs in the presence of alternatives," Ecological Economics, Elsevier, vol. 217(C).
  13. Hannah Krovetz & Rebecca Taylor & Sofia B. Villas-Boas, 2018. "Willingness to Pay for Low Water Footprint Foods during Drought," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 251-291, National Bureau of Economic Research, Inc.
  14. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March.
  15. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
  16. Mihailova, Darja & Schubert, Iljana & Martinez-Cruz, Adan L. & Hearn, Adam X. & Sohre, Annika, 2022. "Preferences for configurations of Positive Energy Districts – Insights from a discrete choice experiment on Swiss households," Energy Policy, Elsevier, vol. 163(C).
  17. Alam, Jessica & Georgalos, Konstantinos & Rolls, Harrison, 2022. "Risk preferences, gender effects and Bayesian econometrics," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 168-183.
  18. Carol Mansfield & Jessie Sutphin & Marco Boeri, 2020. "Assessing the impact of excluded attributes on choice in a discrete choice experiment using a follow‐up question," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1307-1315, October.
  19. Zsolt Sándor & Michel Wedel, 2002. "Profile Construction in Experimental Choice Designs for Mixed Logit Models," Marketing Science, INFORMS, vol. 21(4), pages 455-475, February.
  20. Hong il Yoo, 2012. "The perceived unreliability of rank-ordered data: an econometric origin and implications," Discussion Papers 2012-46, School of Economics, The University of New South Wales.
  21. Akihiro Nakamura, 2010. "Changes in consumers' behavior when a vertically integrated service is separated —The case of Japanese mobile phone services—," Economics Bulletin, AccessEcon, vol. 30(1), pages 437-449.
  22. Jason D. Lemp & Kara M. Kockelman & Paul Damien, 2012. "A Bivariate Multinomial Probit Model for Trip Scheduling: Bayesian Analysis of the Work Tour," Transportation Science, INFORMS, vol. 46(3), pages 405-424, August.
  23. Jungwoo Shin & Taehoon Lim & Moo Yeon Kim & Jae Young Choi, 2018. "Can Next-Generation Vehicles Sustainably Survive in the Automobile Market? Evidence from Ex-Ante Market Simulation and Segmentation," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
  24. Hye-Jeong Lee & Beom Jin Chung & Sung-Yoon Huh, 2023. "Consumer Preferences for Smart Energy Services Based on AMI Data in the Power Sector," Energies, MDPI, vol. 16(9), pages 1-20, May.
  25. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
  26. Rick L. Andrews & Andrew Ainslie & Imran S. Currim, 2008. "On the Recoverability of Choice Behaviors with Random Coefficients Choice Models in the Context of Limited Data and Unobserved Effects," Management Science, INFORMS, vol. 54(1), pages 83-99, January.
  27. 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.
  28. Maeng, Kyuho & Jeon, Seung Ryong & Park, Taeho & Cho, Youngsang, 2021. "Network effects of connected and autonomous vehicles in South Korea: A consumer preference approach," Research in Transportation Economics, Elsevier, vol. 90(C).
  29. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2018. "Who will be smart home users? An analysis of adoption and diffusion of smart homes," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 246-253.
  30. Huh, Sung-Yoon & Lee, Hyejin & Shin, Jungwoo & Lee, Donghyun & Jang, Jinyoung, 2018. "Inter-fuel substitution path analysis of the korea cement industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4091-4099.
  31. W. Kip Viscusi & Joel Huber, 2006. "Hyperbolic Discounting of Public Goods," NBER Working Papers 11935, National Bureau of Economic Research, Inc.
  32. Ricardo Daziano & Denis Bolduc, 2013. "Covariance, identification, and finite-sample performance of the MSL and Bayes estimators of a logit model with latent attributes," Transportation, Springer, vol. 40(3), pages 647-670, May.
  33. Nakamura, A., 2011. "Estimating switching costs after introducing Fixed-Mobile Convergence in Japan," Information Economics and Policy, Elsevier, vol. 23(1), pages 59-71, March.
  34. Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2020. "Behavioral Welfare Economics and Risk Preferences: A Bayesian Approach," NBER Working Papers 27685, National Bureau of Economic Research, Inc.
  35. repec:ebl:ecbull:v:30:y:2010:i:1:p:437-449 is not listed on IDEAS
  36. von Haefen, Roger H., 2003. "Incorporating observed choice into the construction of welfare measures from random utility models," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 145-165, March.
  37. Shin, Jungwoo & Hwang, Won-Sik & Choi, Hyundo, 2019. "Can hydrogen fuel vehicles be a sustainable alternative on vehicle market?: Comparison of electric and hydrogen fuel cell vehicles," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 239-248.
  38. Sarrias, Mauricio, 2020. "Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks," Journal of choice modelling, Elsevier, vol. 36(C).
  39. Nesha Beharry-Borg & David Hensher & Riccardo Scarpa, 2009. "An Analytical Framework for Joint vs Separate Decisions by Couples in Choice Experiments: The Case of Coastal Water Quality in Tobago," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(1), pages 95-117, May.
  40. Jason S. Bergtold & Krishna P. Pokharel & Allen M. Featherstone & Lijia Mo, 2018. "On the examination of the reliability of statistical software for estimating regression models with discrete dependent variables," Computational Statistics, Springer, vol. 33(2), pages 757-786, June.
  41. Huh, Sung-Yoon & Jo, Manseok & Shin, Jungwoo & Yoo, Seung-Hoon, 2019. "Impact of rebate program for energy-efficient household appliances on consumer purchasing decisions: The case of electric rice cookers in South Korea," Energy Policy, Elsevier, vol. 129(C), pages 1394-1403.
  42. Julia Witt & Anthony Scott & Richard H. Osborne, 2009. "Designing choice experiments with many attributes. An application to setting priorities for orthopaedic waiting lists," Health Economics, John Wiley & Sons, Ltd., vol. 18(6), pages 681-696, June.
  43. Nakamura, Akihiro, 2015. "Mobile and fixed broadband access services substitution in Japan considering new broadband features," Telecommunications Policy, Elsevier, vol. 39(2), pages 140-154.
  44. Byun, Hyunsuk & Shin, Jungwoo & Lee, Chul-Yong, 2018. "Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles," Energy, Elsevier, vol. 144(C), pages 312-321.
  45. Pradeep Chintagunta & Jean-Pierre Dubé & Khim Yong Goh, 2005. "Beyond the Endogeneity Bias: The Effect of Unmeasured Brand Characteristics on Household-Level Brand Choice Models," Management Science, INFORMS, vol. 51(5), pages 832-849, May.
  46. Lee, Daeho & Shin, Jungwoo & Lee, Sangwon, 2015. "Network management in the era of convergence: Focusing on application-based quality assessment of Internet access service," Telecommunications Policy, Elsevier, vol. 39(8), pages 705-716.
  47. Nakamura, Akihiro, 2017. "Evaluating Customer Reviews in Matching Services on the Internet," 28th European Regional ITS Conference, Passau 2017 169486, International Telecommunications Society (ITS).
  48. Lee, Jongsu & Kim, Yeonbae & Lee, Jeong-Dong & Park, Yuri, 2006. "Estimating the extent of potential competition in the Korean mobile telecommunications market: Switching costs and number portability," International Journal of Industrial Organization, Elsevier, vol. 24(1), pages 107-124, January.
  49. John V. Colias & Stella Park & Elizabeth Horn, 2023. "Optimizing B2B Product Offers with Machine Learning, Mixed Logit, and Nonlinear Programming," Papers 2308.07830, arXiv.org.
  50. Jongsu Lee & Jae Young Choi & Youngsang Cho, 2009. "A Forecast Simulation Analysis of the Next-Generation DVD Market Based on Consumer Preference Data," TEMEP Discussion Papers 200933, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
  51. Woo, JongRoul & Choi, Jae Young & Shin, Jungwoo & Lee, Jongsu, 2014. "The effect of new media on consumer media usage: An empirical study in South Korea," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 3-11.
  52. Kim, Yeonbae, 2005. "Estimation of consumer preferences on new telecommunications services: IMT-2000 service in Korea," Information Economics and Policy, Elsevier, vol. 17(1), pages 73-84, January.
  53. Li, Xiaowei & Tang, Junqing & Hu, Xiaojiao & Wang, Wei, 2020. "Assessing intercity multimodal choice behavior in a Touristy City: A factor analysis," Journal of Transport Geography, Elsevier, vol. 86(C).
  54. Fabian Bastin & Cinzia Cirillo & Philippe L. Toint, 2010. "Estimating Nonparametric Random Utility Models with an Application to the Value of Time in Heterogeneous Populations," Transportation Science, INFORMS, vol. 44(4), pages 537-549, November.
  55. Villas-Boas, Sofia B & Taylor, Rebecca & Krovetz, Hannah, 2016. "Willingness to Pay for Low Water Footprint Food Choices During Drought," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9vh3x180, Department of Agricultural & Resource Economics, UC Berkeley.
  56. Kyuho Maeng & Sungmin Ko & Jungwoo Shin & Youngsang Cho, 2020. "How Much Electricity Sharing Will Electric Vehicle Owners Allow from Their Battery? Incorporating Vehicle-to-Grid Technology and Electricity Generation Mix," Energies, MDPI, vol. 13(16), pages 1-25, August.
  57. Xiong, Yingge & Mannering, Fred L., 2013. "The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach," Transportation Research Part B: Methodological, Elsevier, vol. 49(C), pages 39-54.
  58. Regier, Dean A. & Ryan, Mandy & Phimister, Euan & Marra, Carlo A., 2009. "Bayesian and classical estimation of mixed logit: An application to genetic testing," Journal of Health Economics, Elsevier, vol. 28(3), pages 598-610, May.
  59. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
  60. Akinc, Deniz & Vandebroek, Martina, 2018. "Bayesian estimation of mixed logit models: Selecting an appropriate prior for the covariance matrix," Journal of choice modelling, Elsevier, vol. 29(C), pages 133-151.
  61. Stefanie Lena Heinzle & Rolf Wüstenhagen, 2012. "Dynamic Adjustment of Eco‐labeling Schemes and Consumer Choice – the Revision of the EU Energy Label as a Missed Opportunity?," Business Strategy and the Environment, Wiley Blackwell, vol. 21(1), pages 60-70, January.
  62. Shi, Wei & Halstead, John & Huang, Ju-Chin, 2016. "Consumers’ Willingness to Pay for Locally Grown Produce: Comparison of New Hampshire and Massachusetts Results," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236109, Agricultural and Applied Economics Association.
  63. Kathleen Jacobs & Jacob Hörisch, 2022. "The importance of product lifetime labelling for purchase decisions: Strategic implications for corporate sustainability based on a conjoint analysis in Germany," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1275-1291, May.
  64. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
  65. Hoyos Ramos, David, 2010. "Using discrete choice experiments for environmental valuation," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
  66. W. Viscusi, 2009. "Valuing risks of death from terrorism and natural disasters," Journal of Risk and Uncertainty, Springer, vol. 38(3), pages 191-213, June.
  67. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
  68. Jung-Kyu Jung & Jae Young Choi, 2022. "Choice and allocation characteristics of faculty time in Korea: effects of tenure, research performance, and external shock," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2847-2869, May.
  69. Donna Dosman & Wiktor Adamowicz, 2006. "Combining Stated and Revealed Preference Data to Construct an Empirical Examination of Intrahousehold Bargaining," Review of Economics of the Household, Springer, vol. 4(1), pages 15-34, March.
  70. Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023. "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 273-303, April.
  71. Ortega, David L. & Hong, Soo Jeong & Olynk Widmar, Nicole J. & Wang, H. Holly & Wu, Laping, 2015. "Chinese aquaculture farmers’ value system and on-farm decision making," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(3), April.
  72. Lim, Sesil & Huh, Sung-Yoon & Shin, Jungwoo & Lee, Jongsu & Lee, Yong-Gil, 2019. "Enhancing public acceptance of renewable heat obligation policies in South Korea: Consumer preferences and policy implications," Energy Economics, Elsevier, vol. 81(C), pages 1167-1177.
  73. 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).
  74. Marco Boeri & Alan J. McMichael & Joseph P. M. Kane & Francis A. O’Neill & Frank Kee, 2018. "Physician-Specific Maximum Acceptable Risk in Personalized Medicine: Implications for Medical Decision Making," Medical Decision Making, , vol. 38(5), pages 593-600, July.
  75. Arne Risa Hole & Hong Il Yoo, 2017. "The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 997-1013, November.
  76. Daeho Lee & Jungwoo Shin & Junseok Hwang, 2011. "Application-Based Quality Assessment of Internet Access Service," TEMEP Discussion Papers 201183, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2011.
  77. Danny Campbell & George Hutchinson & Riccardo Scarpa, 2006. "Benefit Estimates For Landscape Improvements: Sequential Bayesian Design And Respondents’ Rationality In A Choice Experiment Study," Working Papers 0606, Rural Economy and Development Programme,Teagasc.
  78. Paula Brezovec & Nina Hampl, 2021. "Electric Vehicles Ready for Breakthrough in MaaS? Consumer Adoption of E-Car Sharing and E-Scooter Sharing as a Part of Mobility-as-a-Service (MaaS)," Energies, MDPI, vol. 14(4), pages 1-25, February.
  79. Boonaert, Eva & Hoyweghen, Kaat Van & Feyisa, Ashenafi Duguma & Goos, Peter & Maertens, Miet, 2021. "Twofold Gendered Preferences in the Quantity-Quality Trade-Off Impact the Demographic Transition in Ethiopia," 2021 Conference, August 17-31, 2021, Virtual 315224, International Association of Agricultural Economists.
  80. Yeonbae Kim & Tai-Yoo Kim & Eunnyeong Heo, 2003. "Bayesian estimation of multinomial probit models of work trip choice," Transportation, Springer, vol. 30(3), pages 351-365, August.
  81. Jungwoo Shin & Chang Seob Kimi & Jongsu Lee, 2009. "Model for Studying Commodity Bundling with a Focus on Consumer Preference," TEMEP Discussion Papers 200934, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
  82. Barber, Brad M. & Morse, Adair & Yasuda, Ayako, 2021. "Impact investing," Journal of Financial Economics, Elsevier, vol. 139(1), pages 162-185.
  83. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
  84. W. Viscusi & Joel Huber & Jason Bell, 2008. "Estimating discount rates for environmental quality from utility-based choice experiments," Journal of Risk and Uncertainty, Springer, vol. 37(2), pages 199-220, December.
  85. Bergtold, Jason S. & Pokharel, Krishna & Featherstone, Allen, 2015. "On the Examination of the Reliability of Statistical Software for Estimating Logistic Regression Models," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205643, Agricultural and Applied Economics Association.
  86. Kim, Ju-Hee & Kim, Hyo-Jin & Yoo, Seung-Hoon, 2019. "Willingness to pay for fuel-cell electric vehicles in South Korea," Energy, Elsevier, vol. 174(C), pages 497-502.
  87. Daniele Pacifico, 2010. "Estimating nonparametric mixed logit models via EM algorithm," Center for the Analysis of Public Policies (CAPP) 0072, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
  88. 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.
  89. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2016. "Strategic management of over-the-top services: Focusing on Korean consumer adoption behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 329-337.
  90. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
  91. Steffen Andersen & John Fountain & Glenn Harrison & Arne Hole & E. Rutström, 2012. "Inferring beliefs as subjectively imprecise probabilities," Theory and Decision, Springer, vol. 73(1), pages 161-184, July.
  92. Tagliafierro, C. & Boeri, M. & Longo, A. & Hutchinson, W.G., 2016. "Stated preference methods and landscape ecology indicators: An example of transdisciplinarity in landscape economic valuation," Ecological Economics, Elsevier, vol. 127(C), pages 11-22.
  93. Szabó, Andrea & Pham, Vinh, 2022. "Net neutrality and consumer demand in the video on-demand market," Information Economics and Policy, Elsevier, vol. 61(C).
  94. Suzana Karim & Benjamin M. Craig & Caroline Vass & Catharina G. M. Groothuis-Oudshoorn, 2022. "Current Practices for Accounting for Preference Heterogeneity in Health-Related Discrete Choice Experiments: A Systematic Review," PharmacoEconomics, Springer, vol. 40(10), pages 943-956, October.
  95. Park, Soyeong & Maeng, Kyuho & Shin, Jungwoo, 2023. "Efficient subsidy distribution for hydrogen fuel cell vehicles based on demand segmentation," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
  96. Jonathan James, 2018. "Estimation of Factor Structured Covariance Mixed Logit Models," Working Papers 1802, California Polytechnic State University, Department of Economics.
  97. Yeonbae Kim & Jeong-Dong Lee & Daeyoung Koh, 2005. "Effects of consumer preferences on the convergence of mobile telecommunications devices," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 817-826.
  98. Jie Yu & Peter Goos & Martina Vandebroek, 2009. "Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity," Marketing Science, INFORMS, vol. 28(1), pages 122-135, 01-02.
  99. Goksel Yalcinkaya & Tevfik Aktekin & Sengun Yeniyurt & Setiadi Umar, 2017. "How often should a firm modify its products? A Bayesian analysis of automobile modification cycles," Marketing Letters, Springer, vol. 28(1), pages 85-97, March.
  100. Kwak, Kyuseop & Duvvuri, Sri Devi & Russell, Gary J., 2015. "An Analysis of Assortment Choice in Grocery Retailing," Journal of Retailing, Elsevier, vol. 91(1), pages 19-33.
  101. Becker, Felix & Danaf, Mazen & Song, Xiang & Atasoy, Bilge & Ben-Akiva, Moshe, 2018. "Bayesian estimator for Logit Mixtures with inter- and intra-consumer heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 1-17.
  102. Hye-Jeong Lee & Sung-Yoon Huh & Seung-Hoon Yoo, 2018. "Social Preferences for Small-Scale Solar Photovoltaic Power Plants in South Korea: A Choice Experiment Study," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
  103. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
  104. John V. Colias & Stella Park & Elizabeth Horn, 2021. "Optimizing B2B product offers with machine learning, mixed logit, and nonlinear programming," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 157-172, September.
  105. Manuguerra Maurizio & Heller Gillian Z, 2010. "Ordinal Regression Models for Continuous Scales," The International Journal of Biostatistics, De Gruyter, vol. 6(1), pages 1-20, April.
  106. James, Jonathan, 2018. "Estimation of factor structured covariance mixed logit models," Journal of choice modelling, Elsevier, vol. 28(C), pages 41-55.
  107. Mørkbak, Morten Raun & Olsen, Søren Bøye & Campbell, Danny, 2014. "Behavioral implications of providing real incentives in stated choice experiments," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 102-116.
  108. Stefanie Heinzle, 2012. "Disclosure of Energy Operating Cost Information: A Silver Bullet for Overcoming the Energy-Efficiency Gap?," Journal of Consumer Policy, Springer, vol. 35(1), pages 43-64, March.
  109. Narine Yegoryan & Daniel Guhl & Friederike Paetz, 2023. "When Zeros Count: Confounding in Preference Heterogeneity and Attribute Non-attendance," Rationality and Competition Discussion Paper Series 482, CRC TRR 190 Rationality and Competition.
  110. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
  111. Ugo Colombino & Marilena Locatelli, 2008. "Parameters Heterogeneity in a Model of Labour Supply: Exploring the Performance of Mixed Logit," CHILD Working Papers wp21_08, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
  112. Jorge Araña & Carmelo León, 2007. "Repeated Dichotomous Choice Formats for Elicitation of Willingness to Pay: Simultaneous Estimation and Anchoring Effect," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 475-497, April.
  113. Jungwoo Shin & Suna Kang & Donghyun Lee & Bum Il Hong, 2018. "Analysing the failure factors of eco‐friendly home appliances based on a user‐centered approach," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1399-1408, December.
  114. Kim, Doha & Song, Yeosol & Kim, Songyie & Lee, Sewang & Wu, Yanqin & Shin, Jungwoo & Lee, Daeho, 2023. "How should the results of artificial intelligence be explained to users? - Research on consumer preferences in user-centered explainable artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  115. Sung-Yoon Huh & JongRoul Woo & Chul-Yong Lee, 2019. "What Do Potential Residents Really Want When Hosting a Nuclear Power Plant? An Empirical Study of Economic Incentives in South Korea," Energies, MDPI, vol. 12(7), pages 1-17, March.
  116. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.
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