A model for measuring the accuracy in spatial price statistics using scanner data

Abstract

Scanner data coming from the retail trade outlets of modern distribution has the potential to significantly change how to compile spatial price indexes. Over the last years, the availability of new sources of data have stimulated various research studies for adopting more developed statistical techniques for constructing price indexes and assessing their accuracy. In order to evaluate the accuracy associated to point estimates of sub-national PPPs, the Jackknife replication technique is suggested and an empirical application is provided by ISTAT 2018 Scanner Data for the Tuscany region for the basic heading ”mineral water”, ”coffee” and ”dried pasta”.