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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
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    File URL: https://www.insee.fr/en/statistiques/fichier/4203552/509_Leonard-Sillard-Varlet-Zoyem-EN.pdf
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    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

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