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Marketing models of consumer heterogeneity

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Cited by:

  1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
  2. Sha Yang & Vishal Narayan & Henry Assael, 2006. "Estimating the Interdependence of Television Program Viewership Between Spouses: A Bayesian Simultaneous Equation Model," Marketing Science, INFORMS, vol. 25(4), pages 336-349, July.
  3. M. Alex Syaekhoni & Ganjar Alfian & Young S. Kwon, 2017. "Customer Purchasing Behavior Analysis as Alternatives for Supporting In-Store Green Marketing Decision-Making," Sustainability, MDPI, vol. 9(11), pages 1-22, November.
  4. Laura Grigolon, 2021. "Blurred boundaries: A flexible approach for segmentation applied to the car market," Quantitative Economics, Econometric Society, vol. 12(4), pages 1273-1305, November.
  5. 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.
  6. Yoo, James & Ready, Richard C., 2014. "Preference heterogeneity for renewable energy technology," Energy Economics, Elsevier, vol. 42(C), pages 101-114.
  7. Patrick Bajari & Jeremy Fox & Stephen Ryan, 2008. "Evaluating wireless carrier consolidation using semiparametric demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 299-338, December.
  8. 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.
  9. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
  10. Bond, Craig A. & Thilmany, Dawn D. & Bond, Jennifer Keeling, 2008. "What to Choose? The Value of Label Claims to Fresh Produce Consumers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-26.
  11. Yan Lin & Wai Fong Boh, 2020. "How different Are crowdfunders? Examining archetypes of crowdfunders," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1357-1370, November.
  12. Choi, Siwon & Kwak, Kyuil & Yang, Soyoung & Lim, Sesil & Woo, JongRoul, 2022. "Effects of policy instruments on electric scooter adoption in Jakarta, Indonesia: A discrete choice experiment approach," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 373-384.
  13. Nicholas Economides & Przemyslaw Jeziorski, 2017. "Mobile Money in Tanzania," Marketing Science, INFORMS, vol. 36(6), pages 815-837, November.
  14. Mohamed Lachaab & Asim Ansari & Kamel Jedidi & Abdelwahed Trabelsi, 2006. "Modeling preference evolution in discrete choice models: A Bayesian state-space approach," Quantitative Marketing and Economics (QME), Springer, vol. 4(1), pages 57-81, March.
  15. Alessandro Acquisti, 2014. "Inducing Customers to Try New Goods," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 131-146, March.
  16. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
  17. 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.
  18. Robert Zeithammer & Peter Lenk, 2006. "Bayesian estimation of multivariate-normal models when dimensions are absent," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 241-265, September.
  19. Jianhua Wang & Jiaye Ge & Yuting Ma, 2018. "Urban Chinese Consumers’ Willingness to Pay for Pork with Certified Labels: A Discrete Choice Experiment," Sustainability, MDPI, vol. 10(3), pages 1-14, February.
  20. Kitano, Shinichi & Yamamoto, Naotoshi, 2020. "The role of consumer knowledge, experience,and heterogeneity in fish consumption: Policy lessons from Japan," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
  21. Arjun Seshadri & Johan Ugander, 2020. "Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice," Papers 2001.07042, arXiv.org.
  22. Ryosuke Igari & Takahiro Hoshino, 2018. "A Bayesian Gamma Frailty Model Using the Sum of Independent Random Variables: Application of the Estimation of an Interpurchase Timing Model," Keio-IES Discussion Paper Series 2018-021, Institute for Economics Studies, Keio University.
  23. Jean‐Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2010. "State dependence and alternative explanations for consumer inertia," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 417-445, September.
  24. 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).
  25. Wang-Jin Yoo & Inha Oh, 2017. "Effect of Work-Family Balance Policy on Job Selection and Social Sustainability: The Case of South Korea," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
  26. Linhai Wu & Xiaolin Liu & Dian Zhu & Hongsha Wang & Shuxian Wang & Lingling Xu, 2015. "Simulation of Market Demand for Traceable Pork with Different Levels of Safety Information: A Case Study in Chinese Consumers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 513-537, December.
  27. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.
  28. Hongjai Rhee & Minsoo Park, 2011. "Fixed-to-mobile call substitution and telephony market definition in Korea," Journal of Regulatory Economics, Springer, vol. 40(2), pages 198-218, October.
  29. Sukhmani Sidhu & Kanchan Jain & Suresh Kumar Sharma, 2018. "Bayesian estimation of generalized gamma shared frailty model," Computational Statistics, Springer, vol. 33(1), pages 277-297, March.
  30. Jentzsch, Nicola & Sapi, Geza & Suleymanova, Irina, 2013. "Targeted pricing and customer data sharing among rivals," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 131-144.
  31. Mai D. Quy & Dang T. Ha, 2023. "Pig Farmers’ Preferences for the Adoption of Good Animal Husbandry Practices in Vietnam: A Choice Experiment," Sustainability, MDPI, vol. 15(13), pages 1-14, July.
  32. Yupeng Chen & Raghuram Iyengar & Garud Iyengar, 2017. "Modeling Multimodal Continuous Heterogeneity in Conjoint Analysis—A Sparse Learning Approach," Marketing Science, INFORMS, vol. 36(1), pages 140-156, January.
  33. Nino Hardt & Alex Varbanov & Greg M. Allenby, 2016. "Monetizing Ratings Data for Product Research," Marketing Science, INFORMS, vol. 35(5), pages 713-726, September.
  34. repec:ebl:ecbull:v:30:y:2010:i:1:p:437-449 is not listed on IDEAS
  35. 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.
  36. 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).
  37. Hong, Junhee & Koo, Yoonmo & Jeong, Gicheol & Lee, Jongsu, 2012. "Ex-ante evaluation of profitability and government's subsidy policy on vehicle-to-grid system," Energy Policy, Elsevier, vol. 42(C), pages 95-104.
  38. Dimitris Bertsimas & Velibor V. Mišić, 2017. "Robust Product Line Design," Operations Research, INFORMS, vol. 65(1), pages 19-37, February.
  39. Wenjing Nie & David Abler & Liqun Zhu & Taiping Li & Guanghua Lin, 2018. "Consumer Preferences and Welfare Evaluation under Current Food Inspection Measures in China: Evidence from Real Experiment Choice of Rice Labels," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
  40. Xiaoyuan Wang & Yan Liu, 2020. "Explaining Consumer Heterogeneity in Structural State-Dependence," Sustainability, MDPI, vol. 12(7), pages 1-13, March.
  41. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
  42. Chenghuan Sean Chu & Phillip Leslie & Alan Sorensen, 2006. "Nearly Optimal Pricing for Multiproduct Firms," 2006 Meeting Papers 830, Society for Economic Dynamics.
  43. Loaiza-Maya, Rubén & Smith, Michael Stanley & Nott, David J. & Danaher, Peter J., 2022. "Fast and accurate variational inference for models with many latent variables," Journal of Econometrics, Elsevier, vol. 230(2), pages 339-362.
  44. Benedict G. C. Dellaert, 2019. "The consumer production journey: marketing to consumers as co-producers in the sharing economy," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 238-254, March.
  45. Leonardo Cei & Edi Defrancesco & Paola Gatto & Francesco Pagliacci, 2023. "Pay more for me, I’m from the mountains! The role of the EU Mountain Product term and other credence attributes in consumers’ valuation of lamb meat," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-21, December.
  46. Adil Baykasoğlu & İlker Gölcük & Derya Eren Akyol, 2017. "A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies," Annals of Operations Research, Springer, vol. 251(1), pages 205-242, April.
  47. Zhou, Yang & Shi, Zhixiong & Shi, Zhengyu & Gao, Qing & Wu, Libo, 2019. "Disaggregating power consumption of commercial buildings based on the finite mixture model," Applied Energy, Elsevier, vol. 243(C), pages 35-46.
  48. 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.
  49. Youssef M Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2020. "Sparse Covariance Estimation in Logit Mixture Models," Papers 2001.05034, arXiv.org.
  50. Isabelle Chort & Jean-Noël Senne, 2017. "Intra-household Selection into Migration: Evidence from a Matched Sample of Migrants and Origin Households in Senegal," PSE Working Papers hal-01516104, HAL.
  51. 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.
  52. Maoqi Liu & Li Zheng & Changchun Liu & Zhi‐Hai Zhang, 2023. "From share of choice to buyers' welfare maximization: Bridging the gap through distributionally robust optimization," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1205-1222, April.
  53. Nishtha Langer & Ram D. Gopal & Ravi Bapna, 2020. "Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services," Information Systems Research, INFORMS, vol. 31(2), pages 383-398, June.
  54. 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.
  55. Fok, Dennis & Franses, Philip Hans, 2001. "Forecasting market shares from models for sales," International Journal of Forecasting, Elsevier, vol. 17(1), pages 121-128.
  56. Steven T. Berry & Philip A. Haile, 2014. "Identification in Differentiated Products Markets Using Market Level Data," Econometrica, Econometric Society, vol. 82, pages 1749-1797, September.
  57. Henry W. Chappell & William Greene & Mark N. Harris & Christopher Spencer, 2022. "Uncertainty and the Bank of England's MPC," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 825-858, June.
  58. 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.
  59. Dan Pan, 2016. "The Design of Policy Instruments towards Sustainable Livestock Production in China: An Application of the Choice Experiment Method," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
  60. Wang, Shuxian & Wu, Linhai & Zhu, Dian & Wang, Hongsha & Xu, Lingling, 2014. "Chinese consumers’ preferences and willingness to pay for traceable food attributes: The case of pork," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 165639, Agricultural and Applied Economics Association.
  61. Woo, JongRoul & Shin, Jungwoo & Kim, Hongbum & Moon, HyungBin, 2022. "Which consumers are willing to pay for smart car healthcare services? A discrete choice experiment approach," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
  62. 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.
  63. Wasi, Nada & Carson, Richard T., 2013. "The influence of rebate programs on the demand for water heaters: The case of New South Wales," Energy Economics, Elsevier, vol. 40(C), pages 645-656.
  64. Sudarshan, Anant, 2013. "Deconstructing the Rosenfeld curve: Making sense of California's low electricity intensity," Energy Economics, Elsevier, vol. 39(C), pages 197-207.
  65. Alex Burnap & John Hauser, 2018. "Predicting "Design Gaps" in the Market: Deep Consumer Choice Models under Probabilistic Design Constraints," Papers 1812.11067, arXiv.org.
  66. Terry Elrod & Gerald Häubl & Steven Tipps, 2012. "Parsimonious Structural Equation Models for Repeated Measures Data, with Application to the Study of Consumer Preferences," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 358-387, April.
  67. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
  68. Huber, Joel & Train, Kenneth, 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Department of Economics, Working Paper Series qt7zm4f51b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  69. William Greene, 2007. "Discrete Choice Modeling," Working Papers 07-6, New York University, Leonard N. Stern School of Business, Department of Economics.
  70. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
  71. 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.
  72. Jianhua Wang & Minmin Shen & Ziqiu Gao, 2018. "Research on the Irrational Behavior of Consumers’ Safe Consumption and Its Influencing Factors," IJERPH, MDPI, vol. 15(12), pages 1-13, December.
  73. Marc R. Dotson & Joachim Büschken & Greg M. Allenby, 2020. "Explaining Preference Heterogeneity with Mixed Membership Modeling," Marketing Science, INFORMS, vol. 39(2), pages 407-426, March.
  74. Ben Ma & Yali Wen, 2019. "Community Participation and Preferences Regarding Conservation and Development Policies in China’s Giant Panda Nature Reserves," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
  75. Muhammad Azrin Shah Razali & Mahirah Kamaludin & A.A. Azlina, 2022. "Consumer Preference for Energy Label in the Purchase Decision of Refrigerator: A Discrete Choice Experiment Approach in the East Coast, Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 441-450, May.
  76. Richard Paap & Philip Hans Franses, 2000. "A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.
  77. Youssef M. Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2021. "Discrete Choice Analysis with Machine Learning Capabilities," Papers 2101.10261, arXiv.org.
  78. Hu, Wuyang & Adamowicz, Wiktor L. & Veeman, Michele M., 2005. "Bayesian Analysis of Consumer Choices with Taste, Context, Reference Point and Individual Scale Effects," 2005 Annual meeting, July 24-27, Providence, RI 19296, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  79. Bin Zhang & Paul A. Pavlou & Ramayya Krishnan, 2018. "On Direct vs. Indirect Peer Influence in Large Social Networks," Information Systems Research, INFORMS, vol. 29(2), pages 292-314, June.
  80. Ricardo Scarpa & Mara Thiene & Kenneth Train, 2006. "Utility in WTP Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," Working Papers in Economics 06/15, University of Waikato.
  81. 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.
  82. Wang, Yiqin & Wang, Jingbin & Han, Dan & Lv, Shanshan & Chen, Mo & Yin, Shijiu, 2022. "The interaction relationships among agricultural certification labels or brands: evidence from Chinese consumer preference for fresh produce," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
  83. 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.
  84. Kwangpil Chang & S. Siddarth & Charles B. Weinberg, 1999. "The Impact of Heterogeneity in Purchase Timing and Price Responsiveness on Estimates of Sticker Shock Effects," Marketing Science, INFORMS, vol. 18(2), pages 178-192.
  85. Hazel Bateman & Christine Eckert & Fedor Iskhakov & Jordan Louviere & Stephen Satchell & Susan Thorp, 2017. "Default and naive diversification heuristics in annuity choice," Australian Journal of Management, Australian School of Business, vol. 42(1), pages 32-57, February.
  86. Thorsten Hennig-Thurau & Dorothea N. Aliman & Alina M. Herting & Gerrit P. Cziehso & Marc Linder & Raoul V. Kübler, 2023. "Social interactions in the metaverse: Framework, initial evidence, and research roadmap," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 889-913, July.
  87. 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.
  88. 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.
  89. 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.
  90. Heewon Chae, 2022. "Income or education? Community‐level antecedents of firms' category‐spanning activities," Strategic Management Journal, Wiley Blackwell, vol. 43(1), pages 93-129, January.
  91. Linhai Wu & Hongsha Wang & Dian Zhu & Wuyang Hu & Shuxian Wang, 2016. "Chinese consumers’ willingness to pay for pork traceability information—the case of Wuxi," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 71-79, January.
  92. Smith, Martin D. & Wilen, James E., 1999. "Spatial Behavior Of Renewable Resource Harvesters: The California Sea Urchin Fishery," 1999 Annual meeting, August 8-11, Nashville, TN 21510, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  93. Allenby, Greg M., 2017. "Structural forecasts for marketing data," International Journal of Forecasting, Elsevier, vol. 33(2), pages 433-441.
  94. Gorton, Matthew & Yeh, Ching-Hua & Chatzopoulou, Elena & White, John & Tocco, Barbara & Hubbard, Carmen & Hallam, Fiona, 2023. "Consumers' willingness to pay for an animal welfare food label," Ecological Economics, Elsevier, vol. 209(C).
  95. Costanigro, Marco & McCluskey, Jill J. & Mittelhammer, Ronald C., 2006. "Identifying submarket in the wine industry: a multivariate approach to hedonic regression," 2006 Annual meeting, July 23-26, Long Beach, CA 21370, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  96. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
  97. Galak, Jeff & Kim, Jinwoo & Redden, Joseph P., 2022. "Identifying the temporal profiles of hedonic decline," Organizational Behavior and Human Decision Processes, Elsevier, vol. 169(C).
  98. 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.
  99. Keane, Michael P. & Wasi, Nada, 2016. "How to model consumer heterogeneity? Lessons from three case studies on SP and RP data," Research in Economics, Elsevier, vol. 70(2), pages 197-231.
  100. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
  101. Revelt, David & Train, Kenneth, 2000. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Department of Economics, Working Paper Series qt1900p96t, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  102. Vineet Kumar & Yacheng Sun, 2020. "Designing Pricing Strategy for Operational and Technological Transformation," Management Science, INFORMS, vol. 66(6), pages 2706-2734, June.
  103. 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.
  104. 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.
  105. Shaobo Li & Matthew J. Schneider & Yan Yu & Sachin Gupta, 2023. "Reidentification Risk in Panel Data: Protecting for k -Anonymity," Information Systems Research, INFORMS, vol. 34(3), pages 1066-1088, September.
  106. Qi, Min & Yang, Sha, 2003. "Forecasting consumer credit card adoption: what can we learn about the utility function?," International Journal of Forecasting, Elsevier, vol. 19(1), pages 71-85.
  107. Sarrias, Mauricio, 2020. "Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks," Journal of choice modelling, Elsevier, vol. 36(C).
  108. Marco Costanigro & Ron C. Mittelhammer & Jill J. McCluskey, 2009. "Estimating class‐specific parametric models under class uncertainty: local polynomial regression clustering in an hedonic analysis of wine markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1117-1135, November.
  109. Traoré, Sidnoma, 2019. "Residential location choice in a developing country: What matter? A choice experiment application in Burkina Faso," Forest Policy and Economics, Elsevier, vol. 102(C), pages 1-9.
  110. Wu, Linhai & Wang, Shuxian & Zhu, Dian & Hu, Wuyang & Wang, Hongsha, 2015. "Chinese consumers’ preferences and willingness to pay for traceable food quality and safety attributes: The case of pork," China Economic Review, Elsevier, vol. 35(C), pages 121-136.
  111. Chowdhury, K.P., 2021. "Functional analysis of generalized linear models under non-linear constraints with applications to identifying highly-cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
  112. Woo, JongRoul & Moon, Sungho & Choi, Hyunhong, 2022. "Economic value and acceptability of advanced solar power systems for multi-unit residential buildings: The case of South Korea," Applied Energy, Elsevier, vol. 324(C).
  113. 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.
  114. 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).
  115. Simon Behrendt & Georg Wamser, 2018. "Tax-Response Heterogeneity and the Effects of Double Taxation Treaties on the Location Choices of Multinational Firms," CESifo Working Paper Series 6869, CESifo.
  116. Danaher, Peter J. & Dagger, Tracey S. & Smith, Michael S., 2011. "Forecasting television ratings," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1215-1240, October.
  117. Jonas B. Pendzialek & Dusan Simic & Stephanie Stock, 2017. "Measuring customer preferences in the German statutory health insurance," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(7), pages 831-845, September.
  118. 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.
  119. Steven M. Shugan, 2006. "Editorial: Errors in the Variables, Unobserved Heterogeneity, and Other Ways of Hiding Statistical Error," Marketing Science, INFORMS, vol. 25(3), pages 203-216, 05-06.
  120. Shijiu Yin & Wuyang Hu & Yusheng Chen & Fei Han & Yiqin Wang & Mo Chen, 2019. "Chinese consumer preferences for fresh produce: Interaction between food safety labels and brands," Agribusiness, John Wiley & Sons, Ltd., vol. 35(1), pages 53-68, January.
  121. Nakamura, Akihiro, 2011. "Which telecom services should be sustained as national minimum services?," 8th ITS Asia-Pacific Regional Conference, Taipei 2011: Convergence in the Digital Age 52337, International Telecommunications Society (ITS).
  122. 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.
  123. Benoit Playe & Chloé-Agathe Azencott & Véronique Stoven, 2018. "Efficient multi-task chemogenomics for drug specificity prediction," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-34, October.
  124. Jui-Sheng Chou & Dinh-Nhat Truong & Yonatan Che, 2020. "Optimized multi-output machine learning system for engineering informatics in assessing natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 727-754, April.
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