Multidimensional Well-Being: A Bayesian Networks Approach

The study of multidimensional well-being has long recognized the importance of
formalizing the interaction between dimensions, but came short of treating this formally.
In this paper, we show that the statistical technique of Bayesian Networks is
an intuitive and powerful instrument that allows to model the dependence structure
among the dierent dimension of well-being. Moreover, Bayesian Networks are useful
to understand the eectiveness of policies directed to one or more dimensions, as well as
to design more eective interventions to improve well-being. The new approach is illustrated
with an empirical application for a selection of Western and Eastern European
countries.