Social and Moral Distance in Risky Settings
Anastasios Koukoumelis (),
Maria Levati and
Chiara Nardi
Additional contact information
Anastasios Koukoumelis: Department of Economics, University of Bath
No 13/2021, Working Papers from University of Verona, Department of Economics
Abstract:
Many socially desirable actions are subject to risk and occur in situations where the others are not anonymous. Assessing whether lower subject-subject anonymity affects behavior when outcomes are risky is likely important but has not been studied in depth so far. Herein, we provide evidence on this issue. In a series of allocation tasks, all of them variations of the dictator game, we systematically vary the party who is exposed to risk and manipulate recipient anonymity by reducing the social and/or moral distance between the two parties. We propose a model that extends previous work by allowing not only for ex ante and ex post fairness but also for altruism. The model is consistent with observed behavior. In particular, a reduction in social and moral distance significantly increases the likelihood of equal split and more than equal split choices.
Keywords: Risk; Fairness; Altruism; Anonymity; Experiment (search for similar items in EconPapers)
JEL-codes: C90 D63 D64 D81 (search for similar items in EconPapers)
Date: 2021-12
New Economics Papers: this item is included in nep-cbe, nep-exp and nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://dse.univr.it/home/workingpapers/wp2021n13.pdf First version (application/pdf)
Related works:
Working Paper: Social and Moral Distance in Risky Settings (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ver:wpaper:13/2021
Access Statistics for this paper
More papers in Working Papers from University of Verona, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Michael Reiter ().