Abstract
This paper explores how socioeconomic factors influence life satisfaction across OECD countries and how these effects vary by gender. Using a cross-sectional dataset, the study runs three separate regressions, total, men’s, and women’s happiness to test whether factors like health, education, safety, and support networks impact life satisfaction differently for men and women. A Random Forest model is also used to validate the robustness of selected predictors. Findings show that health and support matter universally, but men’s well-being is more closely tied to educational attainment, while women’s happiness is more sensitive to feelings of safety.
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