How Happiness is Made : Determining How Economic Policy and Cultural Standards Predict Happiness
McDowall, Miles Lachlan
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The analysis of happiness and how it can be predicted by economic and social factors may allow policy makers to make informed and data-driven decisions in the future. In order to determine whether or not these factors can be optimized to maximize happiness in a society, we have utilized data-analysis and machine learning techniques to examine their usefulness as a predictive force. We found that a predictive model using the level of inequality, tax rates, and social inclusiveness of a country can account for a large portion of the variance in its population’s happiness. While further analysis is necessary to prove causation, these results show a promising link between economic policy, social conditions, and happiness.
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