1. 28-30 April 2014UNECE - Work session on statistical data editing Data editing and scanner data I. Léonard, G. Varlet and P. Sillard Insee

2. 28-30 April 2014UNECE – Work session on statistical data editing The French Consumer Price Index (CPI) (1/5) Laspeyres yearly chained index fixed basket of products during a year comparison between the prices in the current month and those of last December replacements for products not sold anymore in a shop during the year after a quality-adjustment

3. 28-30 April 2014UNECE – Work session on statistical data editing The French Consumer Price Index (CPI) (2/5) each month 120,000 prices collected in 27,000 shops by 160 price collectors additional collection done centrally for some sectors (electricity, public transports, mobile phones, …) information provided by companies

4. 28-30 April 2014UNECE – Work session on statistical data editing The French Consumer Price Index (CPI) (3/5) The price collectors choose : the shops in a sample of 96 cities representative of the French household consumption in different types of shops to be consistent with the distribution channels the products inside varieties

5. 28-30 April 2014UNECE – Work session on statistical data editing The French Consumer Price Index (CPI) (4/5) Variety : small groups of products defined in a very detailed manner the set of varieties of a product family is representative of the price dynamics of the whole family

6. 28-30 April 2014UNECE – Work session on statistical data editing The French Consumer Price Index (CPI) (5/5) A two-step computation micro-indices at variety and city level using adequate price index formulae to deal with possible substitutions made by the consumers Laspeyres aggregation of the macro- indices

7. 28-30 April 2014UNECE – Work session on statistical data editing The scanner data project (1/5) European Article Number (EAN) internationally managed by GS1 for manufactured goods

8. 28-30 April 2014UNECE – Work session on statistical data editing The scanner data project (2/5) recorded by retailers in centralized databases used for stock management and market research NSI interested to compute CPI for several years could be used to develop estimates of average prices and to make spatial comparisons of price levels

9. 28-30 April 2014UNECE – Work session on statistical data editing The scanner data project (3/5) Aims to increase the quality of disaggregated indices with a basket of products much larger than the present one to select a non biased sample of products with adequate random sample design to estimate the accuracy of the indices to include a broader range of products to apply new statistical methods without changing the basic concepts

10. 28-30 April 2014UNECE – Work session on statistical data editing The scanner data project (4/5) An experiment since November 2012 until at least December 2014 involving 4 major companies under voluntary agreements

11. 28-30 April 2014UNECE – Work session on statistical data editing The scanner data project (5/5) Two indexes in addition to the scanner data to describe shops and products

12. 28-30 April 2014UNECE – Work session on statistical data editing Data editing in the computation of the current French CPI (1/4) two stages, same principles principles : computation of two confidence intervals of price variations based on the whole previous year by large groups of products

13. 28-30 April 2014UNECE – Work session on statistical data editing Data editing in the computation of the current French CPI (2/4) previous monthcurrent month case 1usual price case 2usual pricepromotion or sale price case 3promotion or sale priceusual price case 4promotion or sale price

14. 28-30 April 2014UNECE – Work session on statistical data editing Data editing in the computation of the current French CPI (3/4) automatic confirmation of all price variations inside level 1 CI instant check in the shop by the price collector of price variations inside level 2 CI and outside level 1 CI  confirmation or correction

15. 28-30 April 2014UNECE – Work session on statistical data editing Data editing in the computation of the current French CPI (4/4) For price variations outside level 2 CI : instant check in the shop by the price collector  confirmation or correction + explanation of the price variation (stage 1) check of the explanation in offices  possible reject of the price (stage 2)

16. 28-30 April 2014UNECE – Work session on statistical data editing Data editing in the scanner data project (1/3) same principle of price change confidence intervals no possible check in shops  The accuracy of the CI must be improved The large volume of the database makes it possible

17. 28-30 April 2014UNECE – Work session on statistical data editing Data editing in the scanner data project (2/3) Computation of CI : at the variety level more frequently (monthly or quarterly) by variety and large area for a specific product on a recent period based on the sample or the whole database

18. 28-30 April 2014UNECE – Work session on statistical data editing Data editing in the scanner data project (3/3) Balance between : the improvement of statistical processes thanks to the large volume of data vs. the performances of computers An common issue to all the processes of the project