Best, worst, and Best&worst choice probabilities for logit and reverse logit models

André de Palma and Karim Kilani ()
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Karim Kilani: Université de Cergy-Pontoise, THEMA

No 2023-06, THEMA Working Papers from THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise

Abstract: This paper builds upon the work of Professor Marley, who, since the beginning of his long research career, has proposed rigorous axiomatics in the area of probabilistic choice models. Our study concentrates on models that can be applied to best and worst choice scaling experiments. We focus on those among these models that are based on strong assumptions about the underlying ranking of the alternatives with which the individual is assumed to be endowed when making the choice. Taking advantage of an inclusion-exclusion identity that we showed a few years ago, we propose a variety of best-worst choice probability models that could be implemented in software packages that are flourishing in this field.

Keywords: International Trade; Market Potential; Economic Geography; Regional Development; Core-Periphery. (search for similar items in EconPapers)
JEL-codes: F14 F15 O18 R11 (search for similar items in EconPapers)
Date: 2023
New Economics Papers: this item is included in nep-dcm and nep-upt
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Persistent link: https://EconPapers.repec.org/RePEc:ema:worpap:2023-06

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