Spacial Differences in Price Levels between French Regions and Cities with Scanner Data

Bibliographic Data

ID11976561
AuthorsIsabelle Léonard (Centraal Bureau voor de Statistiek, corresponding author), Patrick Sillard (Centraal Bureau voor de Statistiek), Gaëtan Varlet (Centraal Bureau voor de Statistiek), Jean-Paul Zoyem (Centraal Bureau voor de Statistiek)
Year2019
Issue509
Pages69-82
Publication date2019-09-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomie et Statistique / Economics and Statistics (JOURNAL)
Journal identifiersISSN: 0336-1454 • E-ISSN: 1777-5574
PublisherInstitut National de la Statistique et des Etudes Economiques (INSEE) (PUBLISHER)
DOI10.24187/ecostat.2019.509.1983
OpenAlexW2974176044
LanguageEN
Citations received1
References cited7

With the advent of scanner and web scraped data, "big data" sources are increasingly finding their way into official statistics. This second part of the special issue on "Big Data and Statistics" is devoted to developments in the use of these data for consumer price indices. To what extent are big data different to more traditional data sources such as the collection of prices in the field, and how do they change the process of producing consumer price indices? The four papers in this special issue address these questions by means of the experiences gained in the statistical offices of France, Sweden and the Netherlands. This introduction puts them into perspective vis--vis the value chain of scanner and web scraped data and looks at some further issues for research in this field

Econometrics · Economics · Geography · Scanner · Computer Science · Consumer Market Behavior and Pricing · Environmental Science · Spatial and Panel Data Analysis · Artificial Intelligence

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