Author(s)

Haojie Yang

Corresponding Author

Haojie Yang

Abstract

In the social sciences, the study of well-being occupies an important place. It involves multiple disciplines, including philosophy, psychology, sociology, and economics, and is both complex and interesting. Moreover, happiness is closely connected to people's lives, and each individual has their understanding of what brings them joy. If we can identify the commonalities that affect happiness, perhaps there will be more enjoyment in life; if we can pinpoint the policy factors that impact happiness, we can optimize the allocation of resources to enhance overall well-being. Currently, social science research primarily focuses on the interpretability of variables and the implementation of policies, mainly employing methods such as linear regression and logistic regression. There are a series of speculations and findings on economic and demographic factors, such as income, health, occupation, social relationships, leisure styles, and macroeconomic factors, including government public services, the macroeconomic environment, and tax burden. This competition question explores the classic topic of happiness prediction, aiming to stimulate algorithmic attempts in other dimensions beyond existing social science research. This approach integrates the strengths of various fields to investigate potential influencing factors and uncover more interpretable and understandable relationships.

Keywords

Influencing Factors, Multi-Stage Stratified Sampling, Face-to-Face Interviews, Linear Regression, Model Fusion, Socio-Economic Indicators, Psychological Factors