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.
Price Dispersion: The Case of “Pasta” / Isabella, Carbonaro; Raffaele, Santioni; Carlucci, Margherita. - STAMPA. - (2010), pp. 151-166. [10.1007/978-3-7908-2140-6_8].
Price Dispersion: The Case of “Pasta”
CARLUCCI, Margherita
2010
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
