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EconomieStatistique

Economics

Statistics

AND

ETBig Data et statistiques

2

ème partie

Les Big Data dans l'indice des prix

à la consommation

Big Data and Statistics

Part 2

Big Data in the Consumer Price Index

N° 509 - 2019

N° 509

ECONOMIE ET STATISTIQUE / ECONOMICS AND STATISTICS

Economics

Statistics

AND

Economie

Statistique

ET Directeur de la publication / Director of Publication:

Jean-Luc TAVERNIER

Rédactrice en chef / Editor in Chief:

Sophie PONTHIEUX

Responsable éditorial / Editorial Manager: Pascal GODEFROY Assistant éditorial / Editorial Assistant: Étienne de LATUDE Traductions / Translations: RWS Language Solutions Chiltern Park, Chalfont St. Peter, Bucks, SL9 9FG Royaume-Uni Maquette PAO et impression / CAP and printing: JOUVE

1, rue du Docteur-Sauvé, BP3, 53101 MayenneConseil scienti que / Scienti c Committee

Jacques LE CACHEUX, président (Université de Pau et des pays de l'Adour) Jérôme BOURDIEU (École d'économie de Paris)

Pierre CAHUC (Sciences Po)

Gilbert CETTE (Banque de France et École d'économie d'Aix-Marseille) Yannick L'HORTY (Université de Paris-Est - Marne la Vallée) Daniel OESCH (Life Course and Inequality Research (LINES) et Institut des sciences sociales - Université de Lausanne) Sophie PONTHIEUX (Insee)Katheline SCHUBERT (École d'économie de Paris, Université Paris I) Claudia SENIK (Université Paris-Sorbonne et École d'économie de Paris) Louis-André VALLET (Observatoire sociologique du changement-Sciences

Po/CNRS)

François-Charles WOLFF (Université de Nantes)

Comité éditorial / Editorial Advisory Board

Luc ARRONDEL (École d'économie de Paris)�

Lucio BACCARO (Max Planck Institute for the Study of Societies-Cologne et Département de Sociologie-Université de Genève)

Antoine BOZIO (Institut des politiques publiques/École d'économie de Paris) Clément CARBONNIER (Théma/Université de Cergy-Pontoise et LIEPP-

Sciences Po)

Erwan GAUTIER (Banque de France et Université de Nantes)

Pauline GIVORD (Ocde et Crest)

Florence JUSOT (Université Paris-Dauphine, Leda-Legos et Irdes) François LEGENDRE (Erudite/Université Paris-Est) Claire LELARGE (Université de Paris-Sud, Paris-Saclay et Crest) Claire LOUPIAS (Direction générale du Trésor)Pierre PORA (Insee) Ariell RESHEF (École d'économie de Paris, Centre d'économie de la

Sorbonne et CEPII)

Thepthida SOPRASEUTH (Théma/Université de Cergy-Pontoise)

OÙ SE PROCURER

Economie et Statistique / Economics and Statistics Les numéros sont en accès libre sur le site www.insee. fr. Il est possible de s'abonner aux avis de parution sur le site.La revue peut être achetée sur le site www.insee.fr via la rubrique " Acheter nos publications ». La revue est également en vente dans 200 librairies à Paris et en province.

WHERE TO GET

Economie et Statistique / Economics and Statistics All the issues and articles are available in open access on the Insee website www.insee.fr. Publication alerts can be subscribed on-line.The printed edition of the journal (in French) can be purchased on the Insee website www.insee.fr and in

200 bookshops in Paris and province.

INSTITUT NATIONAL DE LA STATISTIQUE ET DES ÉTUDES ÉCONOMIQUES

Directeur Général : Jean-Luc TAVERNIER

Direction Générale

: 88, avenue Verdier, CS 70058, 92541 MONTROUGE Cedex

Tél

: +33 (0)1 87 69 50 00

N° 509 - 2019

Economie

Statistique

Economics

Statistics

AND ET The views or opinions expressed by the authors engage only themselves, and neither the institutions they work with, nor Insee.

Economie et Statistique /

Economics and Statistics

Issue 509 - 2019

BIG DATA AND STATISTICS

BIG DATA IN THE CONSUMER PRICE INDEX

5 Introduction - The Value Chain of Scanner and WebScraped Data

Jens Mehrhoff

13 Scanner Data: Advances in Methodology and New Challenges

for Computing Consumer Price Indices Scanner data are the data collected by supermarket chains. Their use for the calculation of price statistics is a source of improvements but which requires automating the handling of these massive data. Marie Leclair, Isabelle Léonard, Guillaume Rateau, Patrick Sillard, Gaëtan Varlet and Pierre Vern dal

Fixed Basket

The arrival of scanner data has been a game changer for CPI measurements. But new data sources also means new challenges to preserve comparability and established methodology. Statistics Sweden has taken a cautious approach so far.

Can Tongur

49 Comparing Price Indices of Clothing and Footwear for Scanner

Data and Web Scraped Data

Web scraping is rapidly gaining popularity to replace traditional price collection and to explore the possibilities for calculating consumer prices indices. But as web scraping does not provide actual sales data, is it possible to calculate reliable price indices with web scraped data?

69 Spatial Differences in Price Levels between French Regions

and Cities with Scanner Data Differences in food consumer price levels, measured with scanner data, between regions of metropolitan France lie within a range of 10 percentage points in 2013. They are close to those observed historically since the 1970s. Isabelle Léonard, Patrick Sillard, Gaëtan Varlet and Jean-Paul Zoyem

5ECONOMIE ET STATISTIQUE / ECONOMICS AND STATISTICSIntroduction -

The Value Chain of Scanner

a nd W eb

Scraped

Data Jens Mehrhoff*Abstract - With the advent of scanner and webscraped data, "big data" sources are issue on "Big Data and Statistics" is devoted to developments in the use of these data visàvis the value chain of scanner and webscraped data and looks at some further * Deutsche Bundesbank (jens.mehrhoff@bundesbank.de)

Received on 21 July 2019To cite this article : Mehrhoff, J. (2019). Introduction - The Value Chain of Scanner and WebScraped Data. Economie et Statistique / Economics and Statistics, 509, 5- https://doi.org/10.24187/ecostat.2019.509.1980

Reminder:

The opinions and analyses

in this article are those of the author(s) and do not their institution's or Insee's views.

6ECONOMIE ET STATISTIQUE / ECONOMICS AND STATISTICS

Setting the SceneConsumer price indices are the gauge used to assess price stability, which makes With the advent of scanner and webscraped data, “big data" sources are increasingly special issue on “Big Data and Statistics" is devoted to developments in the use of Big Data are different, or similar, to more traditional data sources such as the collec (with scanner data) or at least a popularity ranking (from websites) become available too, thus allowing the calculation of weighted indices rather than the need to rely on In this introduction, we put the four papers into perspective vis-à-vis the value chain

Collecting Data-Practical Guide

for Processing Supermarket Scanner Data and online retailers were afraid that their data might be misused by their competitors; In terms of scanner data an arrangement might take the form of a quid pro quo the data providers get some kind of market benchmarks as well as data analyses in application programming interface, better known as API, rather than block the sta- Another approach to the collection of data is the establishm ent of a legal framework 7 Introduction - The Value Chain of Scanner and WebScraped Data ECONOMIE ET STATISTIQUE / ECONOMICS AND STATISTICS Independently of the desired or feasible level of aggregation in terms of time, outlets

Processing Data

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