Estimations of local spatial price indices using scanner data, to be used for the comparisons of economic poverty measures

In the last decades, the fight against poverty is assuming a more and more central role in Europe. Indeed, among the goals of Agenda 2030, one of the priorities is to end poverty, in all its forms and dimensions. Moreover, the demand for poverty and living conditions data referred to local areas and/or sub-populations, has become urgent because policymakers need to know the spatial distribution for implementing policies and distributing resources. At the same time is essential to measure within-country differences in the cost of living, assessing and comparing poverty levels in real terms. Scanner data on retail price represent an interesting data source to renew the computation of sub national Spatial Consumer Price Indexes. Therefore, in this paper, we propose a new approach to construct sub national Spatial Consumer Price Indexes for Italian provinces by using scanner data with a particular focus on the poorest part of the Italian population.