Factors Shaping Well-being in Italy, Greece, and Portugal

Trabajo de Seminario , 2019 , 39 Páginas , Calificación: 1,3

Sociología - Economía e industria

This research project aims to explore the factors that contribute to the relatively low level of happiness in Italy, Greece, and Portugal, despite their high health status. By adopting a holistic and systemic approach, the study investigates nine different dimensions of well-being based on the Gross National Happiness (GNH) framework. The research utilizes simple and multiple linear regression analysis to assess the independent impact of various determinants on happiness. The variables considered include life expectancy, employment rate, educational attainment, income, good governance, feeling safe, cultural participation, leisure activities, and environmental factors. The data for the study is obtained from the World Happiness Report (WHR), Gallup World Poll, OECD databases, and other relevant sources. The findings demonstrate that while health and employment rate significantly influence happiness, other factors such as good governance, community vitality, and environmental quality also play significant roles. The results of this research have implications for informing public policies and identifying areas where interventions can enhance individual well-being.

Table of Contents

1 Introduction

2 Theoretical framework

3 Research Design
3.1 Methodology
3.2 Data
3.3 Description of variables

4 Results

5 Discussion and Conclusion

References

Appendix A – Modification at the datasets
Appendix B – Dealing with missing values
Appendix C – Operationalization and overview of variables
Appendix D – Assumptions of regression models:

• Universidad: University of Amsterdam (Amsterdam Institute for Social Science Research (AISSR))
• Calificación: 1,3
• Autor: Lea Lösch (Autor)
• Año de publicación: 2019
• Páginas: 39
• No. de catálogo: V1362194
• ISBN (PDF): 9783346886569
• ISBN (Libro): 9783346886576
• Idioma: Inglés
• Etiqueta: Linear regression analysis, World Happiness Report, Well-being, Determinants of happiness, Aggregated measurements, measurement instruments, life expectancy, employment rate, community vitality