A model for measuring the accuracy in spatial price statistics using scanner data
Author(s)
Date Issued
2020
Type
conferenceObject
Start Page
10
End Page
15
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”.
Conference(s)
SIS 2020 - 50th Scientific Meeting of the Italian Statistical Society
