Evidence map›Paper›PMID 41458321›Full record

ArticleFrontiers in sociology2025

From principles to practice: distributive justice and the role of perceived inequality in reward allocation.

Sandra Gilgen, Christoph Zangger

Abstract read
In one paragraph

Article in Frontiers in sociology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sandra GilgenDepartment of Sociology, University of Zurich, Zurich, Switzerland.
Christoph ZanggerInstitute of Applied Data Science and Finance, Business School, Bern University of Applied Sciences, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How do people balance competing principles of distributive justice when allocating limited goods? This study applies a novel methodological approach-distributional survey experiments (DSEs)-to examine how people weigh merit, need and equality considerations when deciding how to distribute salaries to people with different ascriptive characteristics and occupations. In the DSE, that we embedded in a representative Swiss survey, respondents were asked to allocate a fixed sum among three hypothetical hospital employees with experimentally varying attributes. This design not only allows us to identify causal factors behind allocation decisions but also captures the underlying interdependence involved in questions of distributive justice. What is more, we can examine drivers of the resulting inequality directly through the allocated salaries. The analyses reveal that although merit-based considerations (occupation, job dedication) have the strongest influence on allocation decisions in the workplace context, need (e.g., having dependent children) and discrimination (e.g., against women and ethnic minority men) also shape outcomes. Moreover, respondents who perceive actual income inequality as too high distribute resources more equally. Conversely, higher-income and higher-status respondents produce more unequal distributions. Our findings highlight how distributional preferences are shaped by justice principles, social background, and inequality perceptions. The study contributes methodologically and substantively to justice and inequality research by linking normative principles and experienced conditions to actual allocation behavior and the distributional consequences thereof.

Indexed as

distributional survey experimentdistributive justiceequalityGini indexmeritneedperceptions of inequality

Identifiers

PMID41458321
PMCPMC12738866

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.