Does Education Affect Individual Well-Being? Some Italian Empirical Evidences

• 作者: Francesca Giambona Isabella Sulis Mariano Porcu
• 来源期刊: 统计学期刊(英文)
• 学科: 医学
• 关键词: WELL-BEING EDUCATION LATENT Class Regression Analysis IRT Multivariate Regression
• 年，卷（期）: 2014,（5）
• 页码范围: 319-329
• 页数: 11页
• 分类号: R73

摘要

Using data from the last European Survey on Income and Living Conditions (EU-SILC), this paper focuses on the measurement of well-being and on its association with education. EU-SILC survey gives information on several aspects of people’s daily life (i.e. housing, labour, health, education, finance, material deprivation and possession of durables) allowing a multi-dimensional approach to the study of well-being, poverty and social exclusion. For our aims we have considered only survey data collected in Italy. Due to the multidimensionality of well-being concept, we have selected some variables related principally to four main dimensions of well-being, which are financial endowment, housing conditions and goods possessions, health status, and environment. A first explanatory analysis via multivariate regression model has highlighted the effect of education on the factors considered. Finally, a latent class regression analysis has been used to cluster individuals into mutually exclusive latent classes which identify different intensities of well-being (the latent trait) taking into account the effect of education in the membership probability of each latent class.