Subjective well-being is an important aspect of people’s quality of life and life satisfaction is one of the key variables to measure it. However for policies to be effective in maximising subjective well-being it is of paramount importance to study the factors that influence it. This paper use microdata from the 2013 wave of Multipurpose survey on Everyday life aspects which is a large scale cross sectional survey carried out by Istat annually since 1993 to study the effect of disadvantages on people’s life satisfaction. Trees can be used for exploratory analysis in order to understand the relationships between the target variable and the predictors. We use a regression tree technique to show the effect of disadvantages on life satisfaction. The technique shows that in general the higher the level of disadvantages, the lower the life satisfaction but different combination of disadvantages have different effects on life satisfaction. The regression tree used allows to measure the importance of each factor.

The Effect of Disadvantages on Life Satisfaction

PISCITELLI, ALFONSO
2016

Abstract

Subjective well-being is an important aspect of people’s quality of life and life satisfaction is one of the key variables to measure it. However for policies to be effective in maximising subjective well-being it is of paramount importance to study the factors that influence it. This paper use microdata from the 2013 wave of Multipurpose survey on Everyday life aspects which is a large scale cross sectional survey carried out by Istat annually since 1993 to study the effect of disadvantages on people’s life satisfaction. Trees can be used for exploratory analysis in order to understand the relationships between the target variable and the predictors. We use a regression tree technique to show the effect of disadvantages on life satisfaction. The technique shows that in general the higher the level of disadvantages, the lower the life satisfaction but different combination of disadvantages have different effects on life satisfaction. The regression tree used allows to measure the importance of each factor.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/659722
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