Best, worst, and best&worst choice probabilities for logit and reverse logit models
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- Delle Site, Paolo & Kilani, Karim & Gatta, Valerio & Marcucci, Edoardo & de Palma, André, 2019.
"Estimation of consistent Logit and Probit models using best, worst and best–worst choices,"
Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 87-106.
- Paolo Delle Site & Karim Kilani & Valerio Gatta & Edoardo Marcucci & André de Palma, 2019. "Estimation of consistent Logit and Probit models using best, worst and best–worst choices," Post-Print hal-03719022, HAL.
- 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.
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"Reverse discrete choice models,"
Regional Science and Urban Economics, Elsevier, vol. 29(6), pages 745-764, November.
- S. P. Anderson & A. de Palma, 1997. "Reverse discrete choice models," THEMA Working Papers 97-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
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More about this item
Keywords
Best-worst scaling experiments; Logit model; Random utility models; Reverse logit model;All these keywords.
JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
NEP fields
This paper has been announced in the following NEP Reports:- NEP-DCM-2023-11-06 (Discrete Choice Models)
- NEP-UPT-2023-11-06 (Utility Models and Prospect Theory)
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