Mireinio'r canlyniadau
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Consumer prices development plan
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Consumer prices development plan
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Web scraping policy
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Imputing Web Scraped Prices
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New web data will add millions of fast-moving online prices to inflation statistics
Published 9 July 2018
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Analysis of product turnover in web scraped clothing data, and its impact on methods for compiling price indices
Focuses on a dataset of clothing prices scraped from retailer's websites. The fast paced nature of the fashion industry causes unique problems for the measurement of clothing prices. This paper explores the nature of product turnover in the dataset, and constructs price indices using various methods including the chained Jevons, IntGEKS (Krsinich and Lamboray, 2015) and FEWS (Krsinich, 2014) methods.
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ONS methodology working paper series number 12 – a comparison of index number methodology used on UK web scraped price data
An assessment of methods used to construct price indices using web scraped data. The assessment uses the criteria of the axiomatic, economic and statistical approaches to index number theory.
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Outlier detection for rail fares and second-hand cars dynamic price data
We are applying data cleaning techniques to web-provided and transaction data to remove out-of-scope observations and errors when calculating our consumer price indices.
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Online weekly price changes methodology
Latest quality and methodology information for online price indices for a selection of food and drink products from several large UK retailers. These are experimental data created as part of the faster indicators release in response to the coronavirus (COVID-19) pandemic.
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Online price changes for high-demand products methodology
Latest quality and methodology information for online price indices for high-demand products from several, large UK retailers. These are experimental data created as part of the faster indicators release in response to the coronavirus (COVID-19) pandemic.