IDEAS home Printed from https://ideas.repec.org/a/nse/ecosta/ecostat_2019_509_5.html
   My bibliography  Save this article

Spatial Differences in Price Levels between French Regions and Cities with Scanner Data

Author

Listed:
  • Isabelle Léonard
  • Patrick Sillard
  • Gaëtan Varlet
  • Jean-Paul Zoyem

Abstract

[eng] This study is based on scanner data from large retailers sent daily to Insee in 2013. Its aim is to calculate indices that measure differences in consumer price levels between different areas of metropolitan France, focusing specifically on food products sold in supermarkets. A hedonic index based on the regression of the product price on barcode and territory dummies is developed. Several assessments are carried out over different weeks, with one week of data already providing a great degree of accuracy. The dispersion of price levels between regions or large conurbations is limited and, for the most part, robust to the choice of week. The highest prices are found in the Paris region and Corsica, with a magnitude of differences in the order of a few percentage points. A comparison of the new findings with research conducted by Insee between 1970 and 2000 shows that differences in food prices across different areas of metropolitan France are essentially structural and change little over time.

Suggested Citation

  • Isabelle Léonard & Patrick Sillard & Gaëtan Varlet & Jean-Paul Zoyem, 2019. "Spatial Differences in Price Levels between French Regions and Cities with Scanner Data," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 509, pages 69-82.
  • Handle: RePEc:nse:ecosta:ecostat_2019_509_5
    DOI: https://doi.org/10.24187/ecostat.2019.509.1983
    as

    Download full text from publisher

    File URL: https://www.insee.fr/en/statistiques/fichier/4203552/509_Leonard-Sillard-Varlet-Zoyem-EN.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.24187/ecostat.2019.509.1983?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Venera Timiryanova & Irina Lakman & Vadim Prudnikov & Dina Krasnoselskaya, 2022. "Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data," Forecasting, MDPI, vol. 5(1), pages 1-25, December.
    2. Laureti Tiziana & Polidoro Federico, 2022. "Using Scanner Data for Computing Consumer Spatial Price Indexes at Regional Level: An Empirical Application for Grocery Products in Italy," Journal of Official Statistics, Sciendo, vol. 38(1), pages 23-56, March.

    More about this item

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D1 - Microeconomics - - Household Behavior

    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:nse:ecosta:ecostat_2019_509_5. 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: Veronique Egloff (email available below). General contact details of provider: https://edirc.repec.org/data/inseefr.html .

    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.