Using the World Happiness Report and especially, the Happiness Scores published, this project attempts to find the “secret” of happy nations in their social environments. In order to do so, it attempts to understand which of the popularly-mentioned environmental variables (Log GDP per capita, Life Expectancy, Perceptions on Corruption, Social Support, Freedom to make choices and Generosity) are important i.e. significantly associated, and how do they relate to the odds of being happier. It also strives to understand the more influential ones. Further, it aspires to unravel the regional variations. It tries to understand whether belonging to one region or the other makes a difference. Also, it attempts to understand which factors matter differently across regions and how does the belonging to one region or the other change their associations to the odds of being happier.
The report uses a region-level proportional odds model for the analysis. It begins with data preprocessing followed by EDA, and tries developing the model aided by an imputed data AIC Stepwise-built single-level model, guided by statistical significance and plausibility.
The model so formed finds that Log GDP per capita, Life Expectancy, Generosity, Freedom to make choices, Social Support, Life Expectancy combined with Log GDP per capita, Social Support combined with Log GDP per capita and Generosity given Social Support are important associated factors; besides region, and Log GDP per capita and Freedom to make choices given the region. It particularly finds that wealth, health and social support are crucial factors, with wealth being the most influential. Further, it also discovers that the associated odds are higher for those in the Americas, followed by those in Eu- rope, Middle East and Africa and South and East Asia.
Data Reference: https://worldhappiness.report/ed/2019/
Mentor: Dr. Olanrewaju Michael Akande
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