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Weekday with Low Prices: Evidence on Daily Seasonality of Foods, Beverages and Tobacco Prices

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  • Delajara Marcelo
  • Murillo Garza José Antonio

Abstract

In this document we analyze the evidence of daily seasonality found in the weekly price variations of food, beverages, and tobacco in the Metropolitan Area of Mexico City. Our research is based on the daily price quotes of 2,724 goods, collected by Banco de México for the Consumer Price Index (CPI), in 434 commercial establishments between March 2009 and June 2010. We identify the weekday with the lowest weekly variation in prices, and find that it differs across products, types of commercial establishment, and supermarket chains. Moreover, we find that such a "day of the week" effect increases the volatility of the weekly variations of price quotes. These results establish the "day of the week" among the distinct characteristics of a price, a fact that must be taken into account while preparing calendars for CPI data collection.

Suggested Citation

  • Delajara Marcelo & Murillo Garza José Antonio, 2012. "Weekday with Low Prices: Evidence on Daily Seasonality of Foods, Beverages and Tobacco Prices," Working Papers 2012-09, Banco de México.
  • Handle: RePEc:bdm:wpaper:2012-09
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    References listed on IDEAS

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    1. Daniel Hosken & David Reiffen, 2004. "Patterns of Retail Price Variation," RAND Journal of Economics, The RAND Corporation, vol. 35(1), pages 128-146, Spring.
    2. Elizabeth J. Warner & Robert B. Barsky, 1995. "The Timing and Magnitude of Retail Store Markdowns: Evidence from Weekends and Holidays," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 321-352.
    3. 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.
    4. 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.
    5. Timothy J. Richards, 2006. "Sales by multi-product retailers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 261-277.
    6. de Haan, Jan & van der Grient, Heymerik A., 2011. "Eliminating chain drift in price indexes based on scanner data," Journal of Econometrics, Elsevier, vol. 161(1), pages 36-46, March.
    7. Ellis, Colin, 2009. "Do supermarket prices change from week to week?," Bank of England working papers 378, Bank of England.
    8. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    9. Martin Pesendorfer, 2002. "Retail Sales: A Study of Pricing Behavior in Supermarkets," The Journal of Business, University of Chicago Press, vol. 75(1), pages 33-66, January.
    10. 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.
    11. Abe, Naohito & Tonogi, Akiyuki, 2010. "Micro and macro price dynamics in daily data," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 716-728, September.
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    More about this item

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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