A Meta-Analysis of Gender Differences in Subjective Well-Being: Estimating Effect Sizes and Associations With Gender Inequality

Abstract

Despite global gender inequalities, findings on gender differences in subjective well-being have been inconsistent. We conducted a meta-analysis on gender differences in subjective well-being to account for the type of subjective-well-being measure, sampling variability, and levels of national gender inequality from which samples are gathered. Based on 281 effect sizes for life satisfaction (N = 1,001,802) and 264 for job satisfaction (N = 341,949), results showed no significant gender differences in both types of subjective well-being. Supplementary meta-analyses found significantly lower job satisfaction, but not life satisfaction, in women for studies that used both life-satisfaction and job-satisfaction measures, and studies that relied on measures that previously demonstrated measurement equivalence. Using the Gender Inequality Index, we found that greater national gender inequality significantly predicts greater gender differences in job satisfaction, but not life satisfaction. We discuss the implications of these findings and the use of subjective well-being as a measure of societal progress.