Depression and Social Standing May Not Dictate How We Punish Unfairness, Meta-Analysis Finds

When someone offers you a fraction of a shared reward, your decision to accept or reject the deal reveals far more than simple economic calculation. It exposes how you weigh fairness, emotion, and social context in a split second. For decades, psychologists have used this scenario, formalized in the laboratory as the Ultimatum Game, to probe the hidden machinery of human fairness. A new systematic review and meta-analysis published in BMC Psychology now suggests that two of the most commonly cited influences on this machinery—depression and socioeconomic status—may be far less consistent in their effects than researchers have assumed.

The review, conducted by Hanmo Yin and Nasrudin Subhi of Universiti Kebangsaan Malaysia together with Rozainee Khairudin of Taylor’s University, set out to answer a deceptively simple question: do depression and socioeconomic position reliably change how people respond to unfair offers? The question matters because both factors have been repeatedly implicated in studies of economic behavior. Depression is known to alter emotional processing, reward sensitivity, and social cognition, while socioeconomic status shapes everything from risk tolerance to long-term planning. If either factor systematically distorts fairness-related decision-making, the implications could reach into mental health practice, economic policy, and our understanding of social inequality itself.

To investigate, the team searched PubMed, PsycINFO, Web of Science, and Google Scholar for peer-reviewed articles published up to June 2026. They applied strict eligibility criteria: studies had to use the Ultimatum Game or a closely related paradigm and had to examine either depression or socioeconomic status in relation to the rejection of unfair offers. Rejection rates served as the behavioral index throughout, because refusing a low offer is widely interpreted as costly punishment—the participant sacrifices real money to penalize a partner perceived as unfair. After screening and appraisal using PRISMA reporting standards and the Joanna Briggs Institute critical appraisal checklist, eighteen studies met the inclusion criteria: eleven examining depression alone, six examining socioeconomic status alone, and a single study addressing both factors simultaneously.

The narrative synthesis of these eighteen studies revealed a strikingly inconsistent picture. Among the depression-focused studies, some reported that depressed participants rejected unfair offers more often than healthy controls, consistent with theories that heightened negative emotion or impaired emotion regulation amplifies reactions to unfairness. Others found the opposite pattern, with depression linked to lower rejection rates, perhaps reflecting diminished sensitivity to social reward or a reduced willingness to engage in costly punishment. Still others detected no significant association at all. The socioeconomic status literature told an equally fragmented story, with income, education, occupation, and subjective social standing producing divergent results depending on how each was measured and which task variant was deployed.

To move beyond narrative impressions, the researchers conducted separate random-effects meta-analyses for the depression-related and socioeconomic-status-related effects. The pooled estimates for both factors were non-significant, meaning that across studies, neither depression nor socioeconomic status showed a reliable overall effect on unfair-offer rejection. In the depression meta-analysis, heterogeneity—the statistical variability among study effects—was significant, signaling that the true effect likely differs across populations, clinical profiles, and experimental conditions. In the socioeconomic status analysis, the heterogeneity index was high even though the Q-test for heterogeneity did not reach significance, a pattern the authors attribute to limited statistical power given the small number of included studies.

These findings strike a direct blow against a seductive simplification: the idea that depression uniformly makes people more vindictive toward unfairness, or that poverty or low social standing makes people either more compliant or more rebellious in economic negotiations. The evidence, the authors conclude, supports no such uniform conclusion. Instead, the effects of both depression and socioeconomic status on fairness-related decision-making appear heterogeneous and deeply context-dependent. What happens in the brain of a person with major depressive disorder rejecting a lowball offer may depend on symptom severity, current clinical status, medication, the size of the stakes, and the cultural framing of the task. Likewise, the behavioral signature of socioeconomic disadvantage may shift depending on whether status is measured by income, educational attainment, occupational prestige, or a person’s subjective sense of where they stand on the social ladder.

The technical details of the meta-analytic approach reinforce the credibility of the null result. The authors used restricted maximum likelihood estimation, a standard method for fitting random-effects models that accommodates between-study variability, and followed the PRISMA 2020 guidelines for transparent reporting, with supplementary materials including the full checklist, critical appraisal forms, extraction data, and the R code used for the analyses. This open methodological scaffolding allows other researchers to reproduce the pooled estimates, test alternative models, and identify precisely where the heterogeneity originates. In a field where small samples and task variations frequently produce contradictory findings, such transparency is itself a form of scientific progress.

Why might the expected effects fail to materialize at the pooled level? The review points to several plausible cognitive-affective mechanisms. Rejection of an unfair offer is thought to emerge from an interplay between fairness appraisal—cognitive judgments about whether a split violates social norms—and emotional responses to unfairness, such as anger or resentment. Depression could plausibly act on either side of this ledger: it may blunt the emotional sting of unfairness through anhedonia and reduced reward responsiveness, or it may intensify negative interpretation biases that make ambiguous offers feel hostile. Which direction dominates could depend on the severity of symptoms, the phase of the illness, or comorbid anxiety. Similarly, socioeconomic status could shape rejection behavior through long-term exposure to scarcity, which sometimes promotes acceptance of uneven deals out of necessity, and sometimes fosters heightened sensitivity to being exploited. The single study that examined depression and socioeconomic status together underscores how little direct empirical work exists on their joint influence—a gap the authors identify as a priority for future research.

The methodological critique embedded in the review is equally consequential. Studies in this literature vary widely in how they operationalize both the clinical and the socioeconomic constructs, and in how they configure the Ultimatum Game itself. Stake sizes, offer distributions, partner identity, and whether offers come from humans or computers all modulate rejection behavior. Without standardized paradigms and clearly defined clinical and socioeconomic measures, meta-analytic pools inevitably mix apples and oranges, inflating heterogeneity and obscuring genuine effects. The authors recommend that future studies adopt standard behavioral Ultimatum Game protocols and precise, validated measurements, and that they explicitly test interaction effects between depression and socioeconomic status rather than treating the two as separate, competing predictors.

The broader lesson resonates well beyond the economics laboratory. Public discourse often leans on simple narratives in which mental illness or poverty determines behavior in predictable ways. This meta-analysis is a reminder that human social decision-making resists such neat categorization. The inclination to punish unfairness emerges from a dynamic negotiation between emotion, cognition, context, and identity—and no single demographic or clinical variable appears to command it. For researchers, the null pooled effects are not an endpoint but an invitation: to design better-powered, better-specified studies that can map the conditions under which depression and social position do, in fact, bend our sense of fairness. For the rest of us, the findings counsel humility about how much we can infer about a person’s choices from a diagnosis or a paycheck alone.

Subject of Research: The impact of depression and socioeconomic status on fairness-related socioeconomic decision-making.

Article Title: What is the impact of depression and socioeconomic status on socioeconomic decision-making: a systematic review and meta-analysis

Article References: What is the impact of depression and socioeconomic status on socioeconomic decision-making: a systematic review and meta-analysis. (n.d.). https://doi.org/10.1186/s40359-026-05443-z

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05443-z

Keywords: depression, socioeconomic status, Ultimatum Game, decision-making, meta-analysis, systematic review, fairness, behavioral economics, mental health, social inequality, impact, socioeconomic