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Stylized Facts From Prices at Multi-Channel Retailers in Mexico

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  • Solórzano Diego

Abstract

Using data gathered through web scraping techniques, this paper characterizes product categories' frequency, size and dispersion of price changes in eight retail chains in Mexico, and compare them with price statistics stemming from brick and mortar stores data of the same retailers. Notably, between 2016 and 2019, prices observed in brick and mortar stores (offline) change more frequently than those observed on websites (online). However, given a price change, online prices tend to exhibit larger price changes than their offline counterparts. In 2020, period affected by the pandemic, the above relationship across sales channel holds, while the frequency of price changes increased roughly by the same magnitude in both sales channels and the average size of price adjustments did not change relative to previous years. Results from this paper highlight the importance of recognizing the differences between survey and web scraped data.

Suggested Citation

  • Solórzano Diego, 2023. "Stylized Facts From Prices at Multi-Channel Retailers in Mexico," Working Papers 2023-09, Banco de México.
  • Handle: RePEc:bdm:wpaper:2023-09
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    References listed on IDEAS

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    1. Yuriy Gorodnichenko & Viacheslav Sheremirov & Oleksandr Talavera, 2018. "Price Setting in Online Markets: Does IT Click?," Journal of the European Economic Association, European Economic Association, vol. 16(6), pages 1764-1811.
    2. Solange Gouvea, 2007. "Price Rigidity in Brazil: Evidence from CPI Micro Data," Working Papers Series 143, Central Bank of Brazil, Research Department.
    3. Oleksiy Kryvtsov & Nicolas Vincent, 2021. "The Cyclicality of Sales and Aggregate Price Flexibility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 334-377.
    4. Emmanuel Dhyne & Luis J. Alvarez & Herve Le Bihan & Giovanni Veronese & Daniel Dias & Johannes Hoffmann & Nicole Jonker & Patrick Lunnemann & Fabio Rumler & Jouko Vilmunen, 2006. "Price Changes in the Euro Area and the United States: Some Facts from Individual Consumer Price Data," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 171-192, Spring.
    5. Woodford, Michael & WALSH, CARL E., 2005. "Interest And Prices: Foundations Of A Theory Of Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 9(3), pages 462-468, June.
    6. Jennifer Peña & Elvira Prades, 2021. "Price setting in Chile: Micro evidence from consumer on-line prices during the social outbreak and Covid-19," Working Papers 2112, Banco de España.
    7. Juan Manuel Julio & Héctor Manuel Zárate, 2008. "The Price Setting Behavior in Colombia: Evidence from PPI Micro Data," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 26(56), pages 12-44, June.
    8. Fernando Alvarez & Hervé Le Bihan & Francesco Lippi, 2016. "The Real Effects of Monetary Shocks in Sticky Price Models: A Sufficient Statistic Approach," American Economic Review, American Economic Association, vol. 106(10), pages 2817-2851, October.
    9. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
    10. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    11. Huw David Dixon & Kun Tian, 2017. "What We can Learn About the Behaviour of Firms from the Average Monthly Frequency of Price-Changes: An Application to the UK CPI Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 907-932, December.
    12. Nakamura, Alice O. & Nakamura, Emi & Nakamura, Leonard I., 2011. "Price dynamics, retail chains and inflation measurement," Journal of Econometrics, Elsevier, vol. 161(1), pages 47-55, March.
    13. Etienne Gagnon, 2009. "Price Setting during Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1221-1263.
    14. Josef Baumgartner & Ernst Glatzer & Fabio Rumler & Alfred Stiglbauer, 2005. "How Frequently Do Consumer Prices Change in Austria? Evidence from Micro CPI Data," Working Papers 101, Oesterreichische Nationalbank (Austrian Central Bank).
    15. J. Peña & E. Prades, 2021. "Price setting in Chile: Micro evidence from consumer on-line prices during the social outbreak and Covid-19," Working Papers Central Bank of Chile 906, Central Bank of Chile.
    16. Masahiro Higo & Yumi Saita, 2007. "Price Setting in Japan: Evidence from CPI Micro Data," Bank of Japan Working Paper Series 07-E-20, Bank of Japan.
    17. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(4), pages 1415-1464.
    18. Paweł Macias & Damian Stelmasiak, 2019. "Food inflation nowcasting with web scraped data," NBP Working Papers 302, Narodowy Bank Polski.
    19. Veronese, Giovanni & Fabiani, Silvia & Gattulli, Angela & Sabbatini, Roberto, 2005. "Consumer price behaviour in Italy: evidence from micro CPI data," Working Paper Series 449, European Central Bank.
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    More about this item

    Keywords

    Nominal rigidities; Consumer prices; Web scraped data; Survey microdata;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure

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