Unique ID: 2015053
| Division: | The Government Statistician office |
|---|---|
| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Cost: FREE
Scanner data for compiling the CPI
Using scannder data for compilng CPI
We are in the execution phase of the scanner data for Price statistics project.
Project Objective:
Exploration, Pilot intended to go to production to supplement existing data, Pilot intended to go to production to improve timeliness, Pilot intended to go to production to replace existing data
Project Outcomes:
The wishful outcome of this project is to produce parts of the official CPI based on scanner data.
Project Sources
| Type Of Institution: | National statistical office |
|---|---|
| Big Data Source: | Web scraping data, Scanner data |
| Region: | Middle East & North Africa |
| Country Area: | Israel |
| Id Country Regional: | country |
Partnerships
| Other Partners: | Government institute, Research or academic institute |
|---|---|
| Partnership Comments: | For the web-scraping price data our partners are academic institute, research institute and government institute. |
Accessing Data
| Data Access Rights: | Broader access rights |
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Data Coverage
| Data Coverage: | Only a portion of all data |
|---|---|
| Coverage Geo Pop: | Whole country / high % of market |
| Cost Implication: | Free |
| Coverage Geo Comments: | By using both data |
| Coverage Period: | Scanner data from 2011. Web-scrapping price data from June 2015 |
Project Details
| Frequency Comments: | Up to date we have only partial food chain stores |
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Data Quality
| Quality Framework: | Quality of output statistics |
|---|---|
| Quality Aspects Evaluated: | Completeness, Usability, Time Factors, Accessibility, Relevance, Institutional/Business Environment, Validity, Accuracy, including selectivity |
| Validation Comments: | We are learning about the web-scraping price data nowadays by comparing the web-prices to the traditional surveyor's collected data. |
| Data Quality Concerns Comments: | We have quality validation of the prices. |
Methodology
| Methods Used: | Traditional statistical methods |
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Technologies
| Technologies: | Data mining tools |
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Other
| Income Level: | High-income |
|---|---|
| Iso: | IL |
| Timeframe To Produce Indicator: | NA |
| Frequency Comments: | Up to date we have only partial food chain stores |
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