Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25957
Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: Taboo trade-off aversion: a discrete choice model and empirical analysis
Author(s): Chorus, Caspar
Pudane, Baiba
Mouter, Niek
Campbell, Danny
Issue Date: Jun-2018
Date Deposited: 5-Oct-2017
Citation: Chorus C, Pudane B, Mouter N & Campbell D (2018) Taboo trade-off aversion: a discrete choice model and empirical analysis. Journal of Choice Modelling, 27, pp. 37-49. https://doi.org/10.1016/j.jocm.2017.09.002
Abstract: An influential body of literature in moral psychology suggests that decision makers consider trade-offs morally problematic, or taboo, when the attributes traded off against each other belong to different ‘spheres’, such as friendship versus market transactions. This study is the first to model and empirically explore taboo trade-off aversion in a discrete choice context. To capture possible taboo trade-off aversion, we propose to extend the conventional linear in parameters logit model by including penalties for taboo trade-offs. Using this model, we then explore the presence (and size) of taboo trade-off aversion in a data set specifically collected for this purpose. Results, based on estimation of a variety of (Mixed) Logit models with and without taboo trade-off penalties, suggest that there is indeed a significant and sizeable taboo trade-off aversion underlying choice behaviour of respondents.
DOI Link: 10.1016/j.jocm.2017.09.002
Rights: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-ncnd/4.0/).
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

Files in This Item:
File Description SizeFormat 
1-s2.0-S1755534517300684-main.pdfFulltext - Published Version921.3 kBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.