Abstract
The literature on the evaluation of how the well-being is measured is full of different contributions, ranging from the subjective measure, to the batch of indicators approach, to the provision of synthetic objective indexes. However, up to date, there is still a lack of such measures on micro-territorial level, i.e. on town-by-town basis. This paper, thanks to the statistic platform 100% Lombardia, aims to develop such indexes, named WIT (Well-being Index for Towns), using a cluster analysis, a Bayesian dynamic factor model and a Panel-FAVARX.