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May 13, 2026EconomiesOpen Access

Explaining Global Happiness: Evidence from Decision Trees and Necessary Condition Analysis

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Authors

TTTeresa Torres-CoronasJAJorge de Andrés-Sánchez

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Overview

Analysis reveals social support and GDP crucial for happiness, suggesting nonlinear effects in decision trees.

Key Points

  • The research aims to analyze factors influencing happiness using the World Happiness Report model.
  • Applied decision tree regression model to identify interactions among happiness correlates.
  • Used Gallup World Poll data from 2022-2024 for analysis.
  • Employed the Cantril Ladder as a measure of subjective well-being.
  • Incorporated necessary condition analysis to determine threshold presence in happiness factors.
  • Social support and GDP per capita identified as major factors influencing happiness.
  • Freedom recognized as a key necessary condition in achieving higher happiness levels.
  • Nonlinear interactions reveal that some lower-correlating factors have contextual relevance.

Cite This Study

Torres-Coronas et al. (2026) studied this question.

synapsesocial.com/papers/6a03cbbe1c527af8f1ecf85dhttps://doi.org/10.3390/economies14050172
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