IDEAS home Printed from https://ideas.repec.org/a/spr/series/v16y2025i1d10.1007_s13209-025-00309-w.html
   My bibliography  Save this article

Analyzing VAT pass-through in Spain using web-scraped supermarket data and machine learning

Author

Listed:
  • Nicolás Forteza

    (Bank of Spain)

  • Elvira Prades

    (Bank of Spain)

  • Marc Roca

    (European Central Bank)

Abstract

On December 27, 2022, the Spanish government announced a temporary value added tax (VAT) rate reduction for selected products. VAT rates were cut on January 1, 2023. Initially, the VAT was expected to go back to their previous level six months later, but several waivers led this policy to last for 21–24 months, where the VAT returned to its original level in two phases. We study the pass-through of the temporary VAT rate changes covering the daily prices of roughly 21.000 food products sold online in a Spanish supermarket. We achieve this by utilizing a dataset obtained by web-scraping and employing machine-learning methods to classify each product into a COICOP5 category. To identify the causal price effects, we compare the evolution of prices for treated items (that is, subject to the tax policy) against a control group (food items out of the policy’s scope). Our findings indicate that, at the supermarket level, the pass-through was almost complete after one week. In using product characteristics, we notice differences in the rate of pass-through and in pricing strategy in the subsequent weeks.

Suggested Citation

  • Nicolás Forteza & Elvira Prades & Marc Roca, 2025. "Analyzing VAT pass-through in Spain using web-scraped supermarket data and machine learning," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 16(1), pages 137-189, March.
  • Handle: RePEc:spr:series:v:16:y:2025:i:1:d:10.1007_s13209-025-00309-w
    DOI: 10.1007/s13209-025-00309-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13209-025-00309-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1007/s13209-025-00309-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:series:v:16:y:2025:i:1:d:10.1007_s13209-025-00309-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.