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Profile Construction in Experimental Choice Designs for Mixed Logit Models

Citations

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Cited by:

  1. Bliemer, Michiel C.J. & Collins, Andrew T., 2016. "On determining priors for the generation of efficient stated choice experimental designs," Journal of choice modelling, Elsevier, vol. 21(C), pages 10-14.
  2. Kessels, Roselinde, 2016. "Homogeneous versus heterogeneous designs for stated choice experiments: Ain't homogeneous designs all bad?," Journal of choice modelling, Elsevier, vol. 21(C), pages 2-9.
  3. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
  4. Daria Dzyabura & John R. Hauser, 2011. "Active Machine Learning for Consideration Heuristics," Marketing Science, INFORMS, vol. 30(5), pages 801-819, September.
  5. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.
  6. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
  7. Silvia Ferrini & Riccardo Scarpa, 2005. "Experimental Designs for Environmental Valuation with Choice-Experiments: A Monte-Carlo Investigation," Working Papers in Economics 05/08, University of Waikato.
  8. Raphael Thomadsen & Robert P. Rooderkerk & On Amir & Neeraj Arora & Bryan Bollinger & Karsten Hansen & Leslie John & Wendy Liu & Aner Sela & Vishal Singh & K. Sudhir & Wendy Wood, 2018. "How Context Affects Choice," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 3-14, March.
  9. Danaf, Mazen & Atasoy, Bilge & de Azevedo, Carlos Lima & Ding-Mastera, Jing & Abou-Zeid, Maya & Cox, Nathaniel & Zhao, Fang & Ben-Akiva, Moshe, 2019. "Context-aware stated preferences with smartphone-based travel surveys," Journal of choice modelling, Elsevier, vol. 31(C), pages 35-50.
  10. 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.
  11. Nadarajah, Saralees & Kotz, Samuel, 2009. "Models for purchase frequency," European Journal of Operational Research, Elsevier, vol. 192(3), pages 1014-1026, February.
  12. Riccardo Scarpa & George Philippidis & Fiorenza Spalatro, 2005. "Product-country images and preference heterogeneity for Mediterranean food products: A discrete choice framework," Agribusiness, John Wiley & Sons, Ltd., vol. 21(3), pages 329-349.
  13. Qing Liu & Yihui (Elina) Tang, 2015. "Construction of Heterogeneous Conjoint Choice Designs: A New Approach," Marketing Science, INFORMS, vol. 34(3), pages 346-366, May.
  14. Holland, Benedict M. & Johnston, Robert J., 2017. "Optimized quantity-within-distance models of spatial welfare heterogeneity," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 110-129.
  15. Regier, Dean A. & Watson, Verity & Burnett, Heather & Ungar, Wendy J., 2014. "Task complexity and response certainty in discrete choice experiments: An application to drug treatments for juvenile idiopathic arthritis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 50(C), pages 40-49.
  16. 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.
  17. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
  18. Olaru, Doina & Smith, Brett & Taplin, John H.E., 2011. "Residential location and transit-oriented development in a new rail corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 219-237, March.
  19. Eleanor McDonnell Feit & Mark A. Beltramo & Fred M. Feinberg, 2010. "Reality Check: Combining Choice Experiments with Market Data to Estimate the Importance of Product Attributes," Management Science, INFORMS, vol. 56(5), pages 785-800, May.
  20. Andreas Falke & Harald Hruschka, 2017. "A Monte Carlo study of design-generating algorithms for the latent class mixed logit model," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1035-1053, October.
  21. Rose, John M. & Hensher, David A. & Caussade, Sebastian & Ortúzar, Juan de Dios & Jou, Rong-Chang, 2009. "Identifying differences in willingness to pay due to dimensionality in stated choice experiments: a cross country analysis," Journal of Transport Geography, Elsevier, vol. 17(1), pages 21-29.
  22. Jia Wang & Jiaoju Ge & Zhifeng Gao, 2018. "Consumers’ Preferences and Derived Willingness-to-Pay for Water Supply Safety Improvement: The Analysis of Pricing and Incentive Strategies," Sustainability, MDPI, vol. 10(6), pages 1-16, May.
  23. Olivier Toubia & Duncan I. Simester & John R. Hauser & Ely Dahan, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Marketing Science, INFORMS, vol. 22(3), pages 273-303.
  24. Vishva Danthurebandara & Jie Yu & Martina Vandebroek, 2011. "Sequential choice designs to estimate the heterogeneity distribution of willingness-to-pay," Quantitative Marketing and Economics (QME), Springer, vol. 9(4), pages 429-448, December.
  25. Elizabeth Kinter & Thomas Prior & Christopher Carswell & John Bridges, 2012. "A Comparison of Two Experimental Design Approaches in Applying Conjoint Analysis in Patient-Centered Outcomes Research," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(4), pages 279-294, December.
  26. Joffre Swait & Rick L. Andrews, 2003. "Enriching Scanner Panel Models with Choice Experiments," Marketing Science, INFORMS, vol. 22(4), pages 442-460, September.
  27. Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
  28. Fanus Asefaw Aregay & Liuyang Yao & Minjuan Zhao, 2016. "Spatial Preference Heterogeneity for Integrated River Basin Management: The Case of the Shiyang River Basin, China," Sustainability, MDPI, vol. 8(10), pages 1-17, September.
  29. Qing Liu & Angela Dean & David Bakken & Greg Allenby, 2009. "Studying the level-effect in conjoint analysis: An application of efficient experimental designs for hyper-parameter estimation," Quantitative Marketing and Economics (QME), Springer, vol. 7(1), pages 69-93, March.
  30. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
  31. David Hensher & David Layton, 2010. "Parameter transfer of common-metric attributes in choice analysis: implications for willingness to pay," Transportation, Springer, vol. 37(3), pages 473-490, May.
  32. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.
  33. Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
  34. Ailawadi, Kusum L. & Gedenk, Karen & Langer, Tobias & Ma, Yu & Neslin, Scott A., 2014. "Consumer response to uncertain promotions: An empirical analysis of conditional rebates," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 94-106.
  35. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
  36. Crabbe, M. & Vandebroek, M., 2012. "Improving the efficiency of individualized designs for the mixed logit choice model by including covariates," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2059-2072.
  37. Chen Wang & Vicki M. Bier, 2013. "Expert Elicitation of Adversary Preferences Using Ordinal Judgments," Operations Research, INFORMS, vol. 61(2), pages 372-385, April.
  38. Steven M. Shugan, 2003. "Editorial: Compartmentalized Reviews and Other Initiatives: Should Marketing Scientists Review Manuscripts in Consumer Behavior?," Marketing Science, INFORMS, vol. 22(2), pages 151-160.
  39. Robert J. Johnston & Ewa Zawojska, 2020. "Relative Versus Absolute Commodity Measurements in Benefit Transfer: Consequences for Validity and Reliability," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1245-1270, August.
  40. John M. Rose & Michiel C.J. Bliemer, 2014. "Stated choice experimental design theory: the who, the what and the why," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 7, pages 152-177, Edward Elgar Publishing.
  41. van Cranenburgh, Sander & Rose, John M. & Chorus, Caspar G., 2018. "On the robustness of efficient experimental designs towards the underlying decision rule," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 50-64.
  42. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Business and Economics.
  43. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
  44. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Business and Economics.
  45. Rossella Berni & Fabrizia Mealli, 2013. "Mode choice analysis of mobility in Florence. A choice experiment," Studi e approfondimenti 328, Istituto Regionale per la Programmazione Economica della Toscana.
  46. Steven M. Shugan, 2003. "Editorial: Defining Interesting Research Problems," Marketing Science, INFORMS, vol. 22(1), pages 1-15.
  47. Alina Ozhegova, 2018. "Combination of revealed and stated preferences data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 110-131.
  48. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
  49. Nedka Dechkova Nikiforova & Rossella Berni & Jesús Fernando López‐Fidalgo, 2022. "Optimal approximate choice designs for a two‐step coffee choice, taste and choice again experiment," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1895-1917, November.
  50. Andreas Falke & Harald Hruschka, 2017. "Setting prices in mixed logit model designs," Marketing Letters, Springer, vol. 28(1), pages 139-154, March.
  51. Leonie Burgess & Deborah J. Street & Rosalie Viney & Jordan Louviere, 2012. "Design of Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 42, Edward Elgar Publishing.
  52. González, Rosa Marina & Román, Concepción & Ortúzar, Juan de Dios, 2019. "Preferences for sustainable mobility in natural areas: The case of Teide National Park," Journal of Transport Geography, Elsevier, vol. 76(C), pages 42-51.
  53. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
  54. Abdulrahman S. Alamri & Stelios D. Georgiou & Stella Stylianou, 2023. "Construction of symmetric paired choice experiments: minimising runs and maximising efficiency," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
  55. Falke Andreas & Hruschka Harald, 2016. "A Monte Carlo Study of Design Procedures for the Semi-parametric Mixed Logit Model," Review of Marketing Science, De Gruyter, vol. 14(1), pages 21-67, June.
  56. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
  57. 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.
  58. Sanko, Nobuhiro & Yamamoto, Toshiyuki, 2013. "Estimation efficiency of RP/SP models considering SP design and error structures," Journal of choice modelling, Elsevier, vol. 6(C), pages 60-73.
  59. David Hensher & William Greene, 2010. "Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification," Empirical Economics, Springer, vol. 39(2), pages 413-426, October.
  60. Zander, Kerstin K. & Straton, Anna, 2010. "An economic assessment of the value of tropical river ecosystem services: Heterogeneous preferences among Aboriginal and non-Aboriginal Australians," Ecological Economics, Elsevier, vol. 69(12), pages 2417-2426, October.
  61. Sean Puckett & David Hensher & John Rose & Andrew Collins, 2007. "Design and development of a stated choice experiment for interdependent agents: accounting for interactions between buyers and sellers of urban freight services," Transportation, Springer, vol. 34(4), pages 429-451, July.
  62. Robert J. Johnston & Ewa Zawojska, 2018. "Benefit Transfer and Commodity Measurement Scales: Consequences for Validity and Reliability," Working Papers 2018-26, Faculty of Economic Sciences, University of Warsaw.
  63. Hensher, David A. & Rose, John M. & Ortúzar, Juan de Dios & Rizzi, Luis I., 2009. "Estimating the willingness to pay and value of risk reduction for car occupants in the road environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 692-707, August.
  64. Jeff Brazell & Christopher Diener & Ekaterina Karniouchina & William Moore & Válerie Séverin & Pierre-Francois Uldry, 2006. "The no-choice option and dual response choice designs," Marketing Letters, Springer, vol. 17(4), pages 255-268, December.
  65. Joan L. Walker & Yanqiao Wang & Mikkel Thorhauge & Moshe Ben-Akiva, 2018. "D-efficient or deficient? A robustness analysis of stated choice experimental designs," Theory and Decision, Springer, vol. 84(2), pages 215-238, March.
  66. John R. Hauser & Olivier Toubia, 2005. "The Impact of Utility Balance and Endogeneity in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(3), pages 498-507, August.
  67. Makriyannis, Christos & Johnston, Robert, 2016. "Welfare Analysis for Climate Risk Reductions: Are Current Treatments of Outcome Uncertainty Sufficient?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235532, Agricultural and Applied Economics Association.
  68. Rossella Berni & Nedka Dechkova Nikiforova & Patrizia Pinelli, 2024. "An Optimal Design through a Compound Criterion for Integrating Extra Preference Information in a Choice Experiment: A Case Study on Moka Ground Coffee," Stats, MDPI, vol. 7(2), pages 1-16, June.
  69. David Hensher & John Rose, 2009. "Toll product preferences and implications for alternative payment options and going cashless," Transportation, Springer, vol. 36(2), pages 131-145, March.
  70. Hervé Guyon & Jean-François Petiot, 2011. "Market share predictions: a new model with rating-based conjoint analysis," Post-Print hal-05299752, HAL.
  71. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.
  72. Rotaris, Lucia & Danielis, Romeo, 2014. "The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 127-140.
  73. Crabbe, Marjolein & Akinc, Deniz & Vandebroek, Martina, 2014. "Fast algorithms to generate individualized designs for the mixed logit choice model," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 1-15.
  74. Olivier Toubia & Martijn G. de Jong & Daniel Stieger & Johann Füller, 2012. "Measuring Consumer Preferences Using Conjoint Poker," Marketing Science, INFORMS, vol. 31(1), pages 138-156, January.
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