Examples of using Scanner data in English and their translations into Russian
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Official
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Colloquial
Workshop 4: Scanner data.
Scanner data and web-scraping; theory and practices.
Ii outline of the scanner data.
Scanner data, electronic reporting and other ways of price collection;
Analysis on item sampling using scanner data.
New experiences with scanner data in the Swiss CPI.
Scanner data are collected continuously from January 2000 to December 2001.
Establish required form and quality of scanner data to be supplied.
Increased use of scanner data would be a positive development.
Contact the retail chain for agreement to supply scanner data.
Scanner data and big data and related issues will grow in importance.
This paper deals with an analysis of item sampling using scanner data.
Cost: price collection using scanner data makes it possible to improve the quality of the indices.
An update of the 2004 CPI should include recommendations on scanner data.
Studies using scanner data are also conducted in many other countries e.g. de Haan 1999.
Ivancic et al.(2009)discuss the effects of different types of aggregation of raw scanner data.
It is possible to process scanner data using the Global Data synchronization Network GDSN.
The benchmarking of RPI product andvariety selection against corresponding scanner data.
Sampling and quality adjustment using scanner data- study and implementation in Japan.
They are related to specific features of the retail chains andthe resultant quality of the scanner data.
Invited paper 3:"Using scanner data to complete price indices: solving some practical problems.
The RPI records prices for a particular day in the month whilst the scanner data used for this exercise cover a whole month;
The scanner data provided by the retail chains are aggregated to represent their own pricing policies.
Main definitional differences between scanner data and data collected locally for the Retail Prices Index.
The presentation from Denmark explained the collection and index calculation of COIOP group 1 and2 based on scanner data.
The potential uses of scanner data either to improve the quality of the CPI or to increase the efficiency of compilation.
Where forced replacements continue to be necessary, due to product varieties disappearing from shops, scanner data may be helpful in choosing replacements.
Papers relating to scanner data provide evidence both of the potential of this data and its adoption in practice.
Significant differences can exist between the mean average price level for a product variety based on the full set of RPI quotes andthe subset successfully matched with scanner data.
It is necessary to build up a unified production system for scanner data processing, including data recording, processing and editing.