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Promotion Ban and Heterogeneity in Retail Prices during the Great Lockdown

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  • Jean Hindriks
  • Leonardo Madio
  • Valerio Serse

Abstract

We study the impact of the Belgium lockdown on retail prices using a unique dataset tracking daily prices and promotions for various products in different stores and retail chains. Two distinctive features of our analysis are the ban on promotions during the first two weeks of the lockdown, and the presence of local pricing retail chains (LP) competing with uniform (national) pricing retail chains (UP). We decompose the price changes into the regular price, the frequency, and the size of promotions. The sale price (i.e., the price paid by consumer purchasing on “sale”) increased by 7% within two weeks and by 2.5% within three months. We then provide an heterogeneity analysis of the regular price variation across stores, retailers, products, and over time. We show that LP chains reacted the most to the lockdown with spatial heterogeneity. The heterogeneity in price response also suggests that the price increase was not driven by cost inflation.

Suggested Citation

  • Jean Hindriks & Leonardo Madio & Valerio Serse, 2021. "Promotion Ban and Heterogeneity in Retail Prices during the Great Lockdown," CESifo Working Paper Series 9074, CESifo.
  • Handle: RePEc:ces:ceswps:_9074
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    1. Surico, Paolo & Känzig, Diego & Hacıoğlu Hoke, Sinem, 2020. "Consumption in the time of Covid-19: Evidence from UK transaction data," CEPR Discussion Papers 14733, C.E.P.R. Discussion Papers.
    2. Ivancic, Lorraine & Erwin Diewert, W. & Fox, Kevin J., 2011. "Scanner data, time aggregation and the construction of price indexes," Journal of Econometrics, Elsevier, vol. 161(1), pages 24-35, March.
    3. Keane, Michael & Neal, Timothy, 2021. "Consumer panic in the COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 220(1), pages 86-105.
    4. Martin O'Connell & Áureo de Paula & Kate Smith, 2021. "Preparing for a pandemic: spending dynamics and panic buying during the COVID‐19 first wave," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 249-264, June.
    5. Iñaki Aguirre & Simon Cowan & John Vickers, 2010. "Monopoly Price Discrimination and Demand Curvature," American Economic Review, American Economic Association, vol. 100(4), pages 1601-1615, September.
    6. Rachel Griffith & Martin O'Connell & Kate Smith, 2016. "Shopping Around: How Households Adjusted Food Spending Over the Great Recession," Economica, London School of Economics and Political Science, vol. 83(330), pages 247-280, April.
    7. Kaplan, Greg & Schulhofer-Wohl, Sam, 2017. "Inflation at the household level," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 19-38.
    8. Etienne Gagnon & David López-Salido, 2020. "Small Price Responses to Large Demand Shocks," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 792-828.
    9. Orbach, Barak Y. & Einav, Liran, 2007. "Uniform prices for differentiated goods: The case of the movie-theater industry," International Review of Law and Economics, Elsevier, vol. 27(2), pages 129-153.
    10. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    11. Pascal Seiler, 2020. "Weighting bias and inflation in the time of COVID-19: evidence from Swiss transaction data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
    12. Stefano DellaVigna & Matthew Gentzkow, 2019. "Uniform Pricing in U.S. Retail Chains," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2011-2084.
    13. Einav, Liran & Leibtag, Ephraim S. & Nevo, Aviv, 2008. "On the Accuracy of Nielsen Homescan Data," Economic Research Report 56490, United States Department of Agriculture, Economic Research Service.
    14. W. Erwin Diewert & Kevin J. Fox, 2020. "Measuring Real Consumption and CPI Bias under Lockdown Conditions," NBER Working Papers 27144, National Bureau of Economic Research, Inc.
    15. Richard Blundell & Rachel Griffith & Peter Levell & Martin O'Connell, 2020. "Could COVID‐19 Infect the Consumer Prices Index?," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 357-361, June.
    16. Justin P. Johnson, 2017. "Unplanned Purchases and Retail Competition," American Economic Review, American Economic Association, vol. 107(3), pages 931-965, March.
    17. Alberto Cavallo, 2020. "Inflation with Covid Consumption Baskets," NBER Working Papers 27352, National Bureau of Economic Research, Inc.
    18. Günter J. Hitsch & Ali Hortaçsu & Xiliang Lin, 2019. "Prices and Promotions in U.S. Retail Markets: Evidence from Big Data," NBER Working Papers 26306, National Bureau of Economic Research, Inc.
    19. Xavier Jaravel, 2019. "The Unequal Gains from Product Innovations: Evidence from the U.S. Retail Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 715-783.
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    Cited by:

    1. Hindriks, Jean & Madio, Leonardo & Serse, Valerio, 2022. "How do retailers compete on price promotions? Evidence from a temporary promotion ban in Belgium," LIDAM Discussion Papers CORE 2022005, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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    More about this item

    Keywords

    Covid-19; pricing; lockdown; retailers;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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