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The use of web-scraped data to analyze the dynamics of footwear prices

Author

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  • Juszczak Adam

    (Department of Statistical Methods, Faculty of Economics and Sociology, University of Lodz, Łódź, Poland)

Abstract

Aim/purpose – Web-scraping is a technique used to automatically extract data from websites. After the rise-up of online shopping, it allows the acquisition of information about prices of goods sold by retailers such as supermarkets or internet shops. This study examines the possibility of using web-scrapped data from one clothing store. It aims at comparing known price index formulas being implemented to the web-scraping case and verifying their sensitivity on the choice of data filter type.

Suggested Citation

  • Juszczak Adam, 2021. "The use of web-scraped data to analyze the dynamics of footwear prices," Journal of Economics and Management, Sciendo, vol. 43(1), pages 251-269, May.
    • Handle: RePEc:vrs:jecman:v:43:y:2021:i:1:p:251-269:n:15
    DOI: 10.22367/jem.2021.43.12
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    More about this item

    Keywords

    inflation; CPI; web-scraping; online shopping; big data;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

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