Choice Modeling With Context Effects
Generalization for Observational Data
Bibliographic Data
| ID | 12166221 |
|---|---|
| Authors | Zakaria Babutsidze (0000-0001-8734-8429, SKEMA Business School Université Côte d'Azur (GREDEG) France, corresponding author), William Rand (0000-0002-8294-1757, North Carolina State University Raleigh North Carolina USA), Emil Mirzayev (University College London London UK), Nobuyuki Hanaki (0000-0003-3127-690X, University of Osaka Osaka Japan), Ismaël Rafaï (0000-0001-5512-9002, CNRS Université Toulouse Capitole, Toulouse School of Management and Toulouse School of Economics Toulouse France), Thierry Delahaye (Amadeus IT Pacific Sydney Australia), Rodrigo Acuña-Agost (0000-0002-1970-3107, Fondation Sophia Antipolis), Rodrigo Acuna‐Agost (Amadeus SAS, Sophia Antipolis France) |
| Year | 2025 |
| Volume | 38 |
| Issue | 4 |
| Publication date | 2025-08-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Behavioral Decision Making (JOURNAL) |
| Journal identifiers | ISSN: 0894-3257 • E-ISSN: 1099-0771 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/bdm.70030 |
| OpenAlex | W4413867349 |
| Language | EN |
| References cited | 66 |
Established procedures of analyzing the effect of context on choice consider simple, compact environments in laboratory settings. However, these approaches severely limit the study of context effects and, as a consequence, the applicability of their findings. In this paper, we generalize existing approaches in modeling choice with the aim of developing a toolbox for the analysis of observational data. We consider three main context measures: attraction, compromise, and similarity. The proposed methodology hinges on ex ante calculation of context features for every alternative in multioption, multiattribute choice sets. This approach minimizes the computational complications of estimating the resulting choice model. The proposed approach is applied to air traveler choice data using an extensive observational dataset. This yields the first examination of all three context effects simultaneously in a large observational dataset. We discuss the consequences of product (re)design based on the results of the empirical exercise to showcase the potential use of the developed methodology in managerial practice
Context (archaeology · Econometrics · Generalization · Geography · Observational study · Statistics · Computer Science · Consumer Market Behavior and Pricing · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Mathematics · Psychology
Economic Choices
Elimination by aspects
Least squares quantization in PCM
Multialternative decision field theory
Context-Dependent Preferences
Clustering by Passing Messages Between Data Points
Prospect Theory
No evidence of attraction effect among recommended options
The repulsion effect in preferential choice and its relation to perceptual choice
Similarity, Attraction, and Compromise Effects
There is more to attraction than meets the eye
Impact of choice set complexity on decoy effects
Dominance Effects in the Wild
Inherent Rule Variability in Consumer Choice
Market Boundaries and Product Choice
Adding Asymmetrically Dominated Alternatives
Choice Based on Reasons
Years of Context Effects
Extremeness Aversion and Attribute-Balance Effects in Choice
| Citation velocity | historical |
|---|---|
| Highly cited | No |