Life Satisfaction and Job Quality Relationship: Findings from the OECD Countries for Linear Regression Models

IOne of the basic components of life satisfaction, which means an individual satisfaction with their living conditions as a whole, is job quality. Therefore, job quality reflects a combination of employees’ earnings and job security, as well as other factors affecting their quality of life. Especially after the 2008 Global Economic Crisis, increasing worries on job quality boosted the interest of some academic circles and international organizations on job quality, and various studies were conducted to measure job quality. One of these studies is the OECD’s Job Quality Framework, consisting of three dimensions and nine indicators. Particularly, dimensions of OECD’s Job Quality Framework are structured on earning quality, labor market insecurity, and work environment quality. Therefore, this study aimed to investigate the relationship between life satisfaction scores and job quality indicators by carrying out bivariate and multiple linear regression models to Job Quality Framework data from OECD countries. Bivariate linear regression results revealed that OECD countries with higher life satisfaction scores have a higher job quality. In addition, multivariate linear regression analysis concludes that increased employment rate, earning quality, job autonomy and learning opportunities, and career advancement opportunity may improve life satisfaction scores of countries at varying degrees.