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A theoretical analysis of the cross-nested logit model

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Cited by:

  1. 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.
  2. Michel Beine & Michel Bierlaire & Frédéric Docquier, 2021. "New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration," LISER Working Paper Series 2021-01, Luxembourg Institute of Socio-Economic Research (LISER).
  3. Yao, Rui & Bekhor, Shlomo, 2022. "A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 273-294.
  4. 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.
  5. 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.
  6. Fosgerau, Mogens & McFadden, Daniel & Bierlaire, Michel, 2010. "Choice probability generating functions," MPRA Paper 24214, University Library of Munich, Germany.
  7. 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.
  8. 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.
  9. Tomasz Drabas & Cheng-Lung Wu, 2020. "A market spill–recapture unconstraining model for estimating airline true demand," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(1), pages 43-60, February.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Anna Fernández-Antolín & Matthieu Lapparent & Michel Bierlaire, 2018. "Modeling purchases of new cars: an analysis of the 2014 French market," Theory and Decision, Springer, vol. 84(2), pages 277-303, March.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. Jun Li & Xinjun Lai, 2019. "Modelling travellers’ route choice behaviours with the concept of equivalent impedance," Transportation, Springer, vol. 46(1), pages 233-262, February.
  20. Mulalic, Ismir & Rouwendal, Jan, 2020. "Does improving public transport decrease car ownership? Evidence from a residential sorting model for the Copenhagen metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 83(C).
  21. Frejinger, E. & Bierlaire, M., 2007. "Capturing correlation with subnetworks in route choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(3), pages 363-378, March.
  22. Linjun Lu & Qing-Chang Lu & ABM Sertajur Rahman, 2015. "Residence and Job Location Change Choice Behavior under Flooding and Cyclone Impacts in Bangladesh," Sustainability, MDPI, vol. 7(9), pages 1-20, August.
  23. 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.
  24. Matthew Kovach & Gerelt Tserenjigmid, 2022. "Behavioral Foundations of Nested Stochastic Choice and Nested Logit," Journal of Political Economy, University of Chicago Press, vol. 130(9), pages 2411-2461.
  25. 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.
  26. 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.
  27. Siti Raudhatul Fadilah & Hiroaki Nishiuchi & An Minh Ngoc, 2022. "The Impact of Traffic Information Provision and Prevailing Policy on the Route Choice Behavior of Motorcycles Based on the Stated Preference Experiment: A Preliminary Study," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
  28. 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.
  29. 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.
  30. Ton, Danique & Bekhor, Shlomo & Cats, Oded & Duives, Dorine C. & Hoogendoorn-Lanser, Sascha & Hoogendoorn, Serge P., 2020. "The experienced mode choice set and its determinants: Commuting trips in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 744-758.
  31. Daisik Nam & Jaewoo Cho, 2020. "Deep Neural Network Design for Modeling Individual-Level Travel Mode Choice Behavior," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
  32. 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.
  33. Alessandro Iaria, & Wang, Ao, 2021. "An Empirical Model of Quantity Discounts with Large Choice Sets," The Warwick Economics Research Paper Series (TWERPS) 1378, University of Warwick, Department of Economics.
  34. Duccio Piovani & Vassilis Zachariadis & Michael Batty, 2016. "Quantifying Retail Agglomeration using Diverse Spatial Data," Papers 1612.06441, arXiv.org.
  35. Rajeev Kohli & Kamel Jedidi, 2017. "Relation Between EBA and Nested Logit Models," Operations Research, INFORMS, vol. 65(3), pages 621-634, June.
  36. Pedro Pereira & Tiago Ribeiro, 2018. "Evaluating Partial Divestitures When Vertical Relations are Important," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(2), pages 321-345, September.
  37. 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.
  38. Brett H. Day, 2020. "The Value of Greenspace Under Pandemic Lockdown," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1161-1185, August.
  39. 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.
  40. Breitmoser, Yves, 2010. "Hierarchical Reasoning versus Iterated Reasoning in p-Beauty Contest Guessing Games," MPRA Paper 19893, University Library of Munich, Germany.
  41. Bekhor, Shlomo & Prashker, Joseph N., 2008. "GEV-based destination choice models that account for unobserved similarities among alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 243-262, March.
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