Unequal chances

ex ante fairness and individual control

authored by: Letícia Rettore Micheli, Nickolas Gagnon
Abstract: Unequal financial outcomes often originate from unequal chances. Yet, compared to outcomes, little is known about how individuals perceive unequal distributions of chances. We investigate empirically the role of different sources of unequal chances in shaping inequality perceptions. Importantly, we do so from an ex ante perspective—i.e., before the chances are realized—which has rarely been explored. In an online survey, we asked uninvolved respondents to evaluate ex ante the fairness of unequal allocations of chances. We varied the source of inequality of chances, using a comprehensive range of factors which resemble several real world situations. Respondents also evaluated how much control individuals hold over the distribution of chances. Results show that different sources generate different ex ante perception of fairness. That is, unequal chances based on socioeconomic and biological factors, such as gender, family income and ethnicity, are evaluated to be unfair relative to the same chances based on effort, knowledge, and benevolence. Results also show that, for most individuals, there is a positive correlation between perceived control of a factor and fairness of unequal chances based on that factor. Luck appears to be an exception to this correlation, ranking as high in fairness as effort, knowledge, and benevolence, but similarly low in individual control as ethnicity, family income, and gender.
Organisation(s): Institute of Psychology
External Organisation(s): WU (Vienna University of Economics and Business)
Type: Article
Journal: Scientific Reports
Volume: 10
No. of pages: 10
ISSN: 2045-2322
Publication date: 14.12.2020
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: General
Sustainable Development Goals: SDG 10 - Reduced Inequalities
Electronic version(s): https://doi.org/10.1038/s41598-020-78335-w (Access: Open)

BibTeX

@article{8b4c7fc8b0684a208bfeb2dfedb1c7c8,
title = "Unequal chances: ex ante fairness and individual control",
abstract = "Unequal financial outcomes often originate from unequal chances. Yet, compared to outcomes, little is known about how individuals perceive unequal distributions of chances. We investigate empirically the role of different sources of unequal chances in shaping inequality perceptions. Importantly, we do so from an ex ante perspective—i.e., before the chances are realized—which has rarely been explored. In an online survey, we asked uninvolved respondents to evaluate ex ante the fairness of unequal allocations of chances. We varied the source of inequality of chances, using a comprehensive range of factors which resemble several real world situations. Respondents also evaluated how much control individuals hold over the distribution of chances. Results show that different sources generate different ex ante perception of fairness. That is, unequal chances based on socioeconomic and biological factors, such as gender, family income and ethnicity, are evaluated to be unfair relative to the same chances based on effort, knowledge, and benevolence. Results also show that, for most individuals, there is a positive correlation between perceived control of a factor and fairness of unequal chances based on that factor. Luck appears to be an exception to this correlation, ranking as high in fairness as effort, knowledge, and benevolence, but similarly low in individual control as ethnicity, family income, and gender.",
author = "{Rettore Micheli}, Let{\'i}cia and Nickolas Gagnon",
note = "Funding Information: We thank Arno Riedl for valuable comments and funding, Marcello Negrini for assistance, and Kristof Bosmans as well as participants in the BEELab meeting (Maastricht University) for valuable comments. Nickolas Gagnon gratefully acknowledges financial support from the Fonds de recherche du Qu{\'e}bec - Soci{\'e}t{\'e} et culture. ",
year = "2020",
month = dec,
day = "14",
doi = "10.1038/s41598-020-78335-w",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
}