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The generalized nested logit model

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Cited by:

  1. Anthony Pennington-Cross, 2010. "The Duration of Foreclosures in the Subprime Mortgage Market: A Competing Risks Model with Mixing," The Journal of Real Estate Finance and Economics, Springer, vol. 40(2), pages 109-129, February.
  2. Brücker, Herbert & Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2013. "The European Crisis and Migration to Germany: Expectations and the Diversion of Migration Flows," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79693, Verein für Socialpolitik / German Economic Association.
  3. Swait, Joffre, 2009. "Choice models based on mixed discrete/continuous PDFs," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 766-783, August.
  4. Sánchez Navarro, Dennis, 2013. "Análisis de elasticidades en el mercado automotor colombiano (2009 - 2011) mediante un modelo logit anidado [Analysis Of Elasticity In Colombian Automotive Market (2009 - 2011) Through A Nested Log," MPRA Paper 46043, University Library of Munich, Germany.
  5. David Müller & Vladimir Shikhman, 2022. "Network manipulation algorithm based on inexact alternating minimization," Computational Management Science, Springer, vol. 19(4), pages 627-664, October.
  6. Giancarlos Troncoso Parady & Eiji Hato, 2016. "Accounting for spatial correlation in tsunami evacuation destination choice: a case study of the Great East Japan Earthquake," 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. 84(2), pages 797-807, November.
  7. Wang, Ke & Ye, Xin, 2024. "A practical method to draw from multivariate extreme value distributions," Journal of choice modelling, Elsevier, vol. 52(C).
  8. Toshiyuki Yamamoto, 2009. "Comparative analysis of household car, motorcycle and bicycle ownership between Osaka metropolitan area, Japan and Kuala Lumpur, Malaysia," Transportation, Springer, vol. 36(3), pages 351-366, May.
  9. Ben-Elia, Eran & Shiftan, Yoram, 2010. "Which road do I take? A learning-based model of route-choice behavior with real-time information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(4), pages 249-264, May.
  10. Stephane Hess & Denis Bolduc & John Polak, 2010. "Random covariance heterogeneity in discrete choice models," Transportation, Springer, vol. 37(3), pages 391-411, May.
  11. 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.
  12. Jing Li & Yongbo Lv & Jihui Ma & Yuan Ren, 2019. "Factor Analysis of Customized Bus Attraction to Commuters with Different Travel Modes," Sustainability, MDPI, vol. 11(24), pages 1-13, December.
  13. Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2013. "Multilateral resistance to migration," Journal of Development Economics, Elsevier, vol. 102(C), pages 79-100.
  14. Mogens Fosgerau & Julien Monardo & André de Palma, 2024. "The Inverse Product Differentiation Logit Model," American Economic Journal: Microeconomics, American Economic Association, vol. 16(4), pages 329-370, November.
  15. Chiou, Yu-Chiun & Wen, Chieh-Hua & Tsai, Shih-Hsun & Wang, Wei-Ying, 2009. "Integrated modeling of car/motorcycle ownership, type and usage for estimating energy consumption and emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 665-684, August.
  16. Mai, Tien, 2016. "A method of integrating correlation structures for a generalized recursive route choice model," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 146-161.
  17. Thomas J. Steenburgh, 2008. "The Invariant Proportion of Substitution Property (IPS) of Discrete-Choice Models," Marketing Science, INFORMS, vol. 27(2), pages 300-307, 03-04.
  18. Chaikaew, Pasicha & Hodges, Alan W. & Grunwald, Sabine, 2017. "Estimating the value of ecosystem services in a mixed-use watershed: A choice experiment approach," Ecosystem Services, Elsevier, vol. 23(C), pages 228-237.
  19. Yang, Chih-Wen & Wang, Hsiao-Chun, 2017. "A comparison of flight routes in a dual-airport region using overlapping error components and a cross-nested structure in GEV models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 85-95.
  20. Yang, Liya & Shen, Qing & Li, Zhibin, 2016. "Comparing travel mode and trip chain choices between holidays and weekdays," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 273-285.
  21. Pinjari, Abdul Rawoof & Bhat, Chandra, 2010. "A multiple discrete-continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 562-583, May.
  22. Judith Yates & Daniel F. Mackay, 2006. "Discrete Choice Modelling of Urban Housing Markets: A Critical Review and an Application," Urban Studies, Urban Studies Journal Limited, vol. 43(3), pages 559-581, March.
  23. Kalouptsidis, N. & Koutroumbas, K. & Psaraki, V., 2007. "Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1778-1794, February.
  24. Li, Zhibin & Wang, Wei & Yang, Chen & Jiang, Guojun, 2013. "Exploring the causal relationship between bicycle choice and trip chain pattern," Transport Policy, Elsevier, vol. 29(C), pages 170-177.
  25. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
  26. Pinjari, Abdul Rawoof, 2011. "Generalized extreme value (GEV)-based error structures for multiple discrete-continuous choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 474-489, March.
  27. Papola, Andrea, 2004. "Some developments on the cross-nested logit model," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 833-851, November.
  28. Nina Neubecker & Marcel Smolka & Anne Steinbacher, 2017. "Networks And Selection In International Migration To Spain," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1265-1286, July.
  29. Konrad Menzel, 2021. "Structural Sieves," Papers 2112.01377, arXiv.org, revised Apr 2022.
  30. Wissam Qassim Al-Salih & Domokos Esztergár Kiss, 2022. "Activity Chains Modelling of Travellers by Using Logit Models Based on the Utility Function," Sustainability, MDPI, vol. 14(5), pages 1-36, March.
  31. Na Zhang & Zijia Wang & Feng Chen & Jingni Song & Jianpo Wang & Yu Li, 2020. "Low-Carbon Impact of Urban Rail Transit Based on Passenger Demand Forecast in Baoji," Energies, MDPI, vol. 13(4), pages 1-18, February.
  32. Hamed Alibabai & Hani S. Mahmassani, 2016. "Foxes and sheep: effect of predictive logic in day-to-day dynamics of route choice behavior," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 53-67, March.
  33. Karlson Pfannschmidt & Pritha Gupta & Bjorn Haddenhorst & Eyke Hullermeier, 2019. "Learning Context-Dependent Choice Functions," Papers 1901.10860, arXiv.org, revised Oct 2021.
  34. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
  35. Lai, Xinjun & Bierlaire, Michel, 2015. "Specification of the cross-nested logit model with sampling of alternatives for route choice models," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 220-234.
  36. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
  37. Adriaan Hendrik van der Weijde & Vincent A.C. van den Berg, 2013. "Stochastic User Equilibrium Traffic Assignment with Price-sensitive Demand: Do Methods matter (much)?," Tinbergen Institute Discussion Papers 13-209/VIII, Tinbergen Institute.
  38. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2019. "Nonparametric estimation of the random coefficients model: An elastic net approach," DICE Discussion Papers 326, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  39. Emerson Melo, 2021. "Learning In Random Utility Models Via Online Decision Problems," CAEPR Working Papers 2022-003 Classification-D, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  40. Newman, Jeffrey P. & Lurkin, Virginie & Garrow, Laurie A., 2018. "Computational methods for estimating multinomial, nested, and cross-nested logit models that account for semi-aggregate data," Journal of choice modelling, Elsevier, vol. 26(C), pages 28-40.
  41. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Jan 2025.
  42. Habib, Khandker Nurul & Weiss, Adam & Hasnine, Sami, 2018. "On the heterogeneity and substitution patterns in mobility tool ownership choices of post-secondary students: The case of Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 650-665.
  43. Chikaraishi, Makoto & Nakayama, Shoichiro, 2016. "Discrete choice models with q-product random utilities," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 576-595.
  44. Kitthamkesorn, Songyot & Chen, Anthony, 2013. "A path-size weibit stochastic user equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 378-397.
  45. Habib, Khandker M. Nurul & Sasic, Ana, 2014. "A GEV model with scale heterogeneity for investigating the role of mobility tool ownership in peak period non-work travel mode choices," Journal of choice modelling, Elsevier, vol. 10(C), pages 46-59.
  46. Onno Hoffmeister & Bernhard Dalheimer, 2024. "A linear model to estimate modal split in international freight transport, based on revealed preferences about cost and time saving," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-48, December.
  47. Davies, Ronald B. & Siedschlag, Iulia & Studnicka, Zuzanna, 2018. "Corporate taxation and the location choice of foreign direct investment in EU countries," Papers WP591, Economic and Social Research Institute (ESRI).
  48. Sirchenko Andrei, 2012. "A model for ordinal responses with an application to policy interest rate," EERC Working Paper Series 12/13e, EERC Research Network, Russia and CIS.
  49. Daly, Andrew & Bierlaire, Michel, 2006. "A general and operational representation of Generalised Extreme Value models," Transportation Research Part B: Methodological, Elsevier, vol. 40(4), pages 285-305, May.
  50. Breitmoser, Yves, 2018. "The Axiomatic Foundation of Logit," Rationality and Competition Discussion Paper Series 78, CRC TRR 190 Rationality and Competition.
  51. Kölker, Katrin & Lütjens, Klaus & Gollnick, Volker, 2024. "Analyzing global passenger flows based on choice modeling in the air transportation system," Journal of Air Transport Management, Elsevier, vol. 115(C).
  52. Duncan, Lawrence Christopher & Watling, David Paul & Connors, Richard Dominic & Rasmussen, Thomas Kjær & Nielsen, Otto Anker, 2020. "Path Size Logit route choice models: Issues with current models, a new internally consistent approach, and parameter estimation on a large-scale network with GPS data," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 1-40.
  53. Lemp, Jason D. & Kockelman, Kara M., 2012. "Strategic sampling for large choice sets in estimation and application," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 602-613.
  54. Wissam Qassim Al-Salih & Domokos Esztergár-Kiss, 2021. "Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
  55. Zhang, Yongsheng & Yao, Enjian & Zhang, Rui & Xu, Hao, 2019. "Analysis of elderly people's travel behaviours during the morning peak hours in the context of the free bus programme in Beijing, China," Journal of Transport Geography, Elsevier, vol. 76(C), pages 191-199.
  56. Hongmin Li & Scott Webster, 2017. "Optimal Pricing of Correlated Product Options Under the Paired Combinatorial Logit Model," Operations Research, INFORMS, vol. 65(5), pages 1215-1230, October.
  57. Guang Li & Paat Rusmevichientong & Huseyin Topaloglu, 2015. "The d -Level Nested Logit Model: Assortment and Price Optimization Problems," Operations Research, INFORMS, vol. 63(2), pages 325-342, April.
  58. Claudia Castaldi & Paolo Delle Site & Francesco Filippi, 2019. "Stochastic user equilibrium in the presence of state dependence," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 535-559, December.
  59. Wu, Liyu & Gu, Weihua & Fan, Wenbo & Cassidy, Michael J., 2020. "Optimal design of transit networks fed by shared bikes," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 63-83.
  60. Peter Davis & Pasquale Schiraldi, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 32-63, March.
  61. Bates, John J., 2024. "Pivoting from a known base when predicting choices using logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
  62. Emerson Melo, 2021. "Learning in Random Utility Models Via Online Decision Problems," Papers 2112.10993, arXiv.org, revised Aug 2022.
  63. Zhongze Cai & Hanzhao Wang & Kalyan Talluri & Xiaocheng Li, 2022. "Deep Learning for Choice Modeling," Papers 2208.09325, arXiv.org.
  64. Pereira, Pedro & Ribeiro, Tiago & Vareda, João, 2013. "Delineating markets for bundles with consumer level data: The case of triple-play," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 760-773.
  65. Swait, Joffre & Brigden, Neil & Johnson, Richard D., 2014. "Categories shape preferences: A model of taste heterogeneity arising from categorization of alternatives," Journal of choice modelling, Elsevier, vol. 13(C), pages 3-23.
  66. Emerson Melo, 2022. "On the uniqueness of quantal response equilibria and its application to network games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 681-725, October.
  67. Hancock, Thomas O. & Hess, Stephane & Choudhury, Charisma F. & Tsoleridis, Panagiotis, 2024. "Decision field theory: An extension for real-world settings," Journal of choice modelling, Elsevier, vol. 52(C).
  68. José Manuel Viegas & Helder Cristovão & João Filipe Camisão Caio Vieira & Elisabete A. Silva, 2004. "Interacting Microsoft Visual Basic Procedures (Macros) and GIS tools in order to access optimal location and maximum use of railways and railway infrastructures," ERSA conference papers ersa04p602, European Regional Science Association.
  69. Juying Wang & Feng Guan & Ting Li & Can Wang & Qianqian Han & Bin Yu, 2015. "Optimization of the Waterbus Operation Plan Considering Carbon Emissions: The Case of Zhoushan City," Sustainability, MDPI, vol. 7(8), pages 1-18, August.
  70. Yamaguchi, Shintaro, 2016. "Effects of Parental Leave Policies on Female Career and Fertility Choices," CEI Working Paper Series 2016-8, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
  71. Zhang, Le & Duan, Peng & Jiang, Hai, 2024. "Modeling joint row- and column-wise correlation in air passenger seat selection: A cross-nested logit approach," Journal of Air Transport Management, Elsevier, vol. 114(C).
  72. Marzano, Vittorio & Papola, Andrea, 2008. "On the covariance structure of the Cross-Nested Logit model," Transportation Research Part B: Methodological, Elsevier, vol. 42(2), pages 83-98, February.
  73. Lemp, Jason D. & Kockelman, Kara M. & Damien, Paul, 2010. "The continuous cross-nested logit model: Formulation and application for departure time choice," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 646-661, June.
  74. Marzano, Vittorio, 2014. "A simple procedure for the calculation of the covariances of any Generalized Extreme Value model," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 151-162.
  75. Lili Zheng & Tian Gao & Lin Meng & Tongqiang Ding & Wenhao Chen, 2024. "Research on the Route Choice Behavior of Urban Freight Vehicles Based on GPS Data," Mathematics, MDPI, vol. 12(2), pages 1-17, January.
  76. Liang Tang & Chenfeng Xiong & Lei Zhang, 2015. "Decision tree method for modeling travel mode switching in a dynamic behavioral process," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(8), pages 833-850, December.
  77. David Muller & Yurii Nesterov & Vladimir Shikhman, 2021. "Dynamic pricing under nested logit demand," Papers 2101.04486, arXiv.org.
  78. Tien Mai & Patrick Jaillet, 2019. "Robust Product-line Pricing under Generalized Extreme Value Models," Papers 1912.09552, arXiv.org, revised Oct 2021.
  79. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
  80. Alireza Ermagun & David Levinson, 2015. "Physical Activity in School Travel: A Cross-Nested Logit Approach," Working Papers 000130, University of Minnesota: Nexus Research Group.
  81. Newman, Jeffrey P., 2008. "Normalization of network generalized extreme value models," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 958-969, December.
  82. Vega, Amaya & Reynolds-Feighan, Aisling, 2009. "A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 401-419, May.
  83. Coldren, Gregory M. & Koppelman, Frank S., 2005. "Modeling the competition among air-travel itinerary shares: GEV model development," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 345-365, May.
  84. Hai Jiang & Rui Chen & He Sun, 2017. "Multiproduct price optimization under the multilevel nested logit model," Annals of Operations Research, Springer, vol. 254(1), pages 131-164, July.
  85. Duffy, David & McQuinn, Kieran & Morley, Ciara & Foley, Daniel, 2016. "Quarterly Economic Commentary, Summer 2016," Forecasting Report, Economic and Social Research Institute (ESRI), number QEC20162.
  86. David Dale & Andrei Sirchenko, 2021. "Estimation of nested and zero-inflated ordered probit models," Stata Journal, StataCorp LLC, vol. 21(1), pages 3-38, March.
  87. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi, 2013. "Modelling the spatial interactions between workplace and residential location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 110-122.
  88. Qiang Liu & Thomas J. Steenburgh & Sachin Gupta, 2015. "The Cross Attributes Flexible Substitution Logit: Uncovering Category Expansion and Share Impacts of Marketing Instruments," Marketing Science, INFORMS, vol. 34(1), pages 144-159, January.
  89. OA Oyebamiji & ZS Kisava & JN Harris, 2021. "Irrigation and Productivity Empirical Insight of Farming Households in Tchien District," Current Investigations in Agriculture and Current Research, Lupine Publishers, LLC, vol. 9(2), pages 1196-1204, February.
  90. Yukalov, V.I., 2021. "A resolution of St. Petersburg paradox," Journal of Mathematical Economics, Elsevier, vol. 97(C).
  91. Joao Macieira & Pedro Pereira & Joao Vareda, 2013. "Bundling Incentives in Markets with Product Complementarities: The Case of Triple-Play," Working Papers 13-15, NET Institute.
  92. Mogens Fosgerau & Nikolaj Nielsen & Mads Paulsen & Thomas Kj{ae}r Rasmussen & Rui Yao, 2024. "Sensitivity analysis of the perturbed utility stochastic traffic equilibrium," Papers 2409.08347, arXiv.org, revised May 2025.
  93. Shintaro Yamaguchi, 2016. "Effects of Parental Leave Policies on Female Career and Fertility Choices," Department of Economics Working Papers 2016-10, McMaster University.
  94. Stephane Hess & Mark Fowler & Thomas Adler & Aniss Bahreinian, 2012. "A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study," Transportation, Springer, vol. 39(3), pages 593-625, May.
  95. Duccio Piovani & Vassilis Zachariadis & Michael Batty, 2016. "Quantifying Retail Agglomeration using Diverse Spatial Data," Papers 1612.06441, arXiv.org.
  96. Robin, Th. & Antonini, G. & Bierlaire, M. & Cruz, J., 2009. "Specification, estimation and validation of a pedestrian walking behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 36-56, January.
  97. Zhang, Le & Azadeh, Shadi Sharif & Jiang, Hai, 2025. "Exact and heuristic algorithms for cardinality-constrained assortment optimization problem under the cross-nested logit model," European Journal of Operational Research, Elsevier, vol. 324(1), pages 183-199.
  98. Chenfeng Xiong & Lei Zhang, 2017. "Dynamic travel mode searching and switching analysis considering hidden model preference and behavioral decision processes," Transportation, Springer, vol. 44(3), pages 511-532, May.
  99. Papola, Andrea, 2016. "A new random utility model with flexible correlation pattern and closed-form covariance expression: The CoRUM," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 80-96.
  100. Rashidi, Taha Hossein & Auld, Joshua & Mohammadian, Abolfazl (Kouros), 2012. "A behavioral housing search model: Two-stage hazard-based and multinomial logit approach to choice-set formation and location selection," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1097-1107.
  101. Meng, Qiang & Liu, Zhiyuan & Wang, Shuaian, 2012. "Optimal distance tolls under congestion pricing and continuously distributed value of time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 937-957.
  102. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
  103. Li, Guoyuan & Chen, Anthony & Ryu, Seungkyu & Kitthamkesorn, Songyot & Xu, Xiangdong, 2024. "Modeling elasticity, similarity, stochasticity, and congestion in a network equilibrium framework using a paired combinatorial weibit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
  104. José-Benito Pérez-López & Margarita Novales & Francisco-Alberto Varela-García & Alfonso Orro, 2020. "Residential Location Econometric Choice Modeling with Irregular Zoning: Common Border Spatial Correlation Metric," Networks and Spatial Economics, Springer, vol. 20(3), pages 785-802, September.
  105. Rajeev Kohli & Kamel Jedidi, 2017. "Relation Between EBA and Nested Logit Models," Operations Research, INFORMS, vol. 65(3), pages 621-634, June.
  106. Gu, Yu & Chen, Anthony & Kitthamkesorn, Songyot, 2022. "Weibit choice models: Properties, mode choice application and graphical illustrations," Journal of choice modelling, Elsevier, vol. 44(C).
  107. Ke Wang & Chandra R. Bhat & Xin Ye, 2023. "A multinomial probit analysis of shanghai commute mode choice," Transportation, Springer, vol. 50(4), pages 1471-1495, August.
  108. Lu, Jiajun, 2020. "Household residential location choice in retirement: The role of climate amenities," Regional Science and Urban Economics, Elsevier, vol. 84(C).
  109. Newman, Jeffrey P. & Ferguson, Mark E. & Garrow, Laurie A., 2013. "Estimating GEV models with censored data," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 170-184.
  110. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
  111. Jiayang Li & Zhaoran Wang & Yu Marco Nie, 2023. "Wardrop Equilibrium Can Be Boundedly Rational: A New Behavioral Theory of Route Choice," Papers 2304.02500, arXiv.org, revised Feb 2024.
  112. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.
  113. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2022. "Nonparametric estimation of the random coefficients model: An elastic net approach," Journal of Econometrics, Elsevier, vol. 229(2), pages 299-321.
  114. Sanjog Misra, 2005. "Generalized Reverse Discrete Choice Models," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 175-200, June.
  115. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2019. "Nonparametric estimation of the random coefficients model: An elastic net approach," Ruhr Economic Papers 824, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  116. Abbe, E. & Bierlaire, M. & Toledo, T., 2007. "Normalization and correlation of cross-nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 795-808, August.
  117. Knies, Austin & Lorca, Jorge & Melo, Emerson, 2022. "A recursive logit model with choice aversion and its application to transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 47-71.
  118. Flügel, Stefan & Halse, Askill H. & Ortúzar, Juan de Dios & Rizzi, Luis I., 2015. "Methodological challenges in modelling the choice of mode for a new travel alternative using binary stated choice data – The case of high speed rail in Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 438-451.
  119. Ma, Jie & Meng, Qiang & Cheng, Lin & Liu, Zhiyuan, 2022. "General stochastic ridesharing user equilibrium problem with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 162-194.
  120. Simona Rasciute & Sean Puckett & Eric J. Pentecost, 2015. "The Allocation Of Oecd Direct Investment Between Ceecs: A Discrete Choice Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 67(S1), pages 26-39, December.
  121. David Muller & Yurii Nesterov & Vladimir Shikhman, 2019. "Discrete choice prox-functions on the simplex," Papers 1909.05591, arXiv.org.
  122. Zhang, Runsen & Fujimori, Shinichiro & Dai, Hancheng & Hanaoka, Tatsuya, 2018. "Contribution of the transport sector to climate change mitigation: Insights from a global passenger transport model coupled with a computable general equilibrium model," Applied Energy, Elsevier, vol. 211(C), pages 76-88.
  123. Faza Fawzan Bastarianto & Muhammad Zudhy Irawan & Charisma Choudhury & David Palma & Imam Muthohar, 2019. "A Tour-Based Mode Choice Model for Commuters in Indonesia," Sustainability, MDPI, vol. 11(3), pages 1-20, February.
  124. Hasnine, Md Sami & Lin, TianYang & Weiss, Adam & Habib, Khandker Nurul, 2018. "Determinants of travel mode choices of post-secondary students in a large metropolitan area: The case of the city of Toronto," Journal of Transport Geography, Elsevier, vol. 70(C), pages 161-171.
  125. Marzano, Vittorio & Papola, Andrea & Simonelli, Fulvio & Vitillo, Roberta, 2013. "A practically tractable expression of the covariances of the Cross-Nested Logit model," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 1-11.
  126. Julie Poirier, 2012. "How to Deal with Protest Bids and Preference for the Status Quo in Choice Experiments ?," Working Papers 2012-02, Center for Research in Economics and Statistics.
  127. Drabas, Tomasz & Wu, Cheng-Lung, 2013. "Modelling air carrier choices with a Segment Specific Cross Nested Logit model," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 8-16.
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