Unique ID: 2015031

Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Using scanner data for compilation of CPI

Using scanner data for compilation of CPI

The purpose of this project is to test whether scanner data from the two major supermarket chains in Denmark can be used in the production of the CPI.

Project Objective:

Pilot intended to go to production to replace existing data

Project Outcomes:

Too soon to say. Will be evaluated in order to decide whether the traditional method of data collection should be abolished or not.

Statistical Area

Price

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Scanner data
Region: Europe & Central Asia
Country Area: Denmark
Id Country Regional: country
Partnerships
Partnerships
Other Partners: Other
Partnership Comments: Supermarket chains
Accessing Data
Accessing Data
Data Access Rights: Only for this project
Data Coverage
Data Coverage
Data Coverage: All available data
Coverage Geo Pop: Whole country / high % of market
Cost Implication: Free
Coverage Period: 2014/2015
Data Quality
Data Quality
Quality Framework: Quality of source/input
Quality Aspects Evaluated: Validity, Accuracy, including selectivity, Coherence, including linkability to other sources
Validation Comments: We are using usual CPI data collected by 'price inspectors' to validate the data.
Data Quality Concerns Comments: We are comparing to ordinary CPI data.
Methodology
Methodology
Methods Used: Traditional statistical methods
Technologies
Technologies
Technologies: Other
Other
Other
Income Level: High-income
Iso: DK
Timeframe To Produce Indicator: NA
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