Aim of our research is to explore the possibility to utilize scanner data on pasta purchases’ data to build bilateral and multilateral spatial price indexes, following a binary approach in the latter. Using the extremely rich information provided by AC Nielsen company (about 6 millions of elementary data) we have calculated binary and multilateral PPPS for 17 Italian regions. Our results show that there are great differences in regional prices: living in Toscana but also in Umbria, Calabria and Puglia entails a remarkable saving in the expenditure for pasta. This is confirmed by both Törnqvist binary parities and GEKS indexes.
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