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Relevant Factors That Intervene In World Happiness, Analysis Of Countries With High Happiness And Low Gdp.

Published in: Prospective and trends in technology and skills for sustainable social development. Leveraging emerging technologies to construct the future: Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 19-23, 2021
Location of Conference: Virtual
Authors: Patricia Natividad Gómez (Universidad Privada del Norte, PE)
Milton Otiniano Quispe (Data Science Research Perú, PE)
Patricia Natividad Gómez (Universidad Privada del Norte, PE)
Full Paper: #303

Abstract:

The objective of this article is to achieve a statistical analysis of the data from the World Happiness Report and its relationship with the economic income of the countries, as well as to identify that variables other than the economic one (GDP) affect happiness. The approach uses research methodology, and uses Machine Learning techniques to generate models that represent the function to predict the happiness score or category of a country, as well as a hypothesis test. The results determine that there is a positive relationship between economic income and happiness, but up to a certain level the relationship is marginal, and that there are other aspects such as those related to social factors that are decisive to establish the degree of happiness in a country.