IDEAS home Printed from https://ideas.repec.org/p/fip/fedlwp/2018-010.html
   My bibliography  Save this paper

Uniform Pricing Within and Across Regions: New Evidence from Argentina

Author

Listed:
  • Diego Daruich
  • Julian Kozlowski

Abstract

We compile a new database of grocery prices in Argentina, with over 9 million observations per day. Our main novel inding is that product prices almost do not vary within stores of a chain (i.e., uniform pricing). We also find that prices do not change significantly with regional conditions or shocks, particularly so for chains that operate in many regions. To study the impact of uniform pricing on both consumers and firms, this paper uses a tractable model based on the trade literature. Motivated by our empirical findings, each firm has to set the same price in both regions. Relative to a counterfactual in which firms can set different prices across regions (i.e., flexible pricing), uniform pricing reduces firms? profits by 0.4%. Consumers, however, prefer uniform pricing and are willing to give up 6.7% of their income to avoid flexible pricing in the baseline model. The effect on consumers, however, depends on how much uniform pricing limits firms? power to extract consumer surplus and how heterogeneous the regions are.

Suggested Citation

  • Diego Daruich & Julian Kozlowski, 2018. "Uniform Pricing Within and Across Regions: New Evidence from Argentina," Working Papers 2018-10, Federal Reserve Bank of St. Louis.
  • Handle: RePEc:fip:fedlwp:2018-010
    DOI: 10.20955/wp.2018.010
    as

    Download full text from publisher

    File URL: https://s3.amazonaws.com/real.stlouisfed.org/wp/2018/2018-010.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.20955/wp.2018.010?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fernando Alvarez & Francesco Lippi & Juan Passadore, 2017. "Are State- and Time-Dependent Models Really Different?," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 379-457.
    2. Greg Kaplan & Guido Menzio & Leena Rudanko & Nicholas Trachter, 2019. "Relative Price Dispersion: Evidence and Theory," American Economic Journal: Microeconomics, American Economic Association, vol. 11(3), pages 68-124, August.
    3. Lach, Saul & Tsiddon, Daniel, 1992. "The Behavior of Prices and Inflation: An Empirical Analysis of Disaggregated Price Data," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 349-389, April.
    4. Konieczny, Jerzy D. & Skrzypacz, Andrzej, 2005. "Inflation and price setting in a natural experiment," Journal of Monetary Economics, Elsevier, vol. 52(3), pages 621-632, April.
    5. Atif Mian & Amir Sufi, 2011. "House Prices, Home Equity-Based Borrowing, and the US Household Leverage Crisis," American Economic Review, American Economic Association, vol. 101(5), pages 2132-2156, August.
    6. Ina Simonovska, 2015. "Income Differences and Prices of Tradables: Insights from an Online Retailer," Review of Economic Studies, Oxford University Press, vol. 82(4), pages 1612-1656.
    7. Brian Adams & Kevin R. Williams, 2019. "Zone Pricing in Retail Oligopoly," American Economic Journal: Microeconomics, American Economic Association, vol. 11(1), pages 124-156, February.
    8. Jung, Jae Wook & Simonovska, Ina & Weinberger, Ariel, 2019. "Exporter heterogeneity and price discrimination: A quantitative view," Journal of International Economics, Elsevier, vol. 116(C), pages 103-124.
    9. Benjamin Eden, 2001. "Inflation and Price Adjustment: An Analysis of Microdata," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 607-636, July.
    10. Virgiliu Midrigan, 2011. "Menu Costs, Multiproduct Firms, and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(4), pages 1139-1180, July.
    11. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, Oxford University Press, vol. 123(4), pages 1415-1464.
    12. Alberto Cavallo & Brent Neiman & Roberto Rigobon, 2014. "Currency Unions, Product Introductions, and the Real Exchange Rate," The Quarterly Journal of Economics, Oxford University Press, vol. 129(2), pages 529-595.
    13. Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
    14. Eyal Baharad & Benjamin Eden, 2004. "Price Rigidity and Price Dispersion: Evidence from Micro Data," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(3), pages 613-641, July.
    15. Alberto Cavallo, 2018. "More Amazon Effects: Online Competition and Pricing Behaviors," NBER Working Papers 25138, National Bureau of Economic Research, Inc.
    16. Etienne Gagnon, 2009. "Price Setting during Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, Oxford University Press, vol. 124(3), pages 1221-1263.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sheremirov, Viacheslav, 2020. "Price dispersion and inflation: New facts and theoretical implications," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 59-70.
    2. Etienne Gagnon & David López-Salido & Nicolas Vincent, 2013. "Individual Price Adjustment along the Extensive Margin," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 235-281.
    3. Klenow, Peter J. & Malin, Benjamin A., 2010. "Microeconomic Evidence on Price-Setting," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 6, pages 231-284, Elsevier.
    4. Alvarez González, Luis Julián, 2008. "What Do Micro Price Data Tell Us on the Validity of the New Keynesian Phillips Curve?," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 2, pages 1-36.
    5. Giulietti, Monica & Otero, Jesús & Waterson, Michael, 2020. "Rigidities and adjustments of daily prices to costs: Evidence from supermarket data," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    6. Bartosz Mackowiak & Frank Smets, 2008. "On implications of micro price data for macro models," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    7. Hobijn, Bart & Nechio, Fernanda & Shapiro, Adam Hale, 2021. "Using Brexit to identify the nature of price rigidities," Journal of International Economics, Elsevier, vol. 130(C).
    8. Bart Hobijn & Fernanda Nechio & Adam Hale Shapiro, 2020. "Using Brexit To Identify the Nature of Price Rigidities," NBER Chapters, in: NBER International Seminar on Macroeconomics 2020, National Bureau of Economic Research, Inc.
    9. Ross D. Hickey & David S. Jacks, 2011. "Nominal rigidities and retail price dispersion in Canada over the twentieth century," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(3), pages 749-780, August.
    10. M. Utku Özmen & Orhun Sevinç, 2016. "Price Rigidity in Turkey: Evidence from Micro Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(4), pages 1029-1045, April.
    11. Marco Bonomo & Carlos Carvalho, 2010. "Imperfectly Credible Disinflation under Endogenous Time‐Dependent Pricing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 799-831, August.
    12. Isaac Baley & Julio Blanco, 2019. "Aggregate Dynamics in Lumpy Economies," 2019 Meeting Papers 903, Society for Economic Dynamics.
    13. Dhyne, Emmanuel & Fuss, Catherine & Pesaran, M. Hashem & Sevestre, Patrick, 2011. "Lumpy Price Adjustments: A Microeconometric Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(4), pages 529-540.
    14. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, Oxford University Press, vol. 123(4), pages 1415-1464.
    15. Richard Davies, 2021. "Prices and inflation in the UK - A new dataset," CEP Occasional Papers 55, Centre for Economic Performance, LSE.
    16. Emmanuel Dhyne & Luis J. Álvarez & Hervé Le Bihan & Giovanni Veronese & Daniel Dias & Johannes Hoffmann & Nicole Jonker & Patrick Lünnemann & Fabio Rumler & Jouko Vilmunen, 2005. "Price setting in the euro area: Some stylized facts from Individual Consumer Price Data," Working Papers w200506, Banco de Portugal, Economics and Research Department.
    17. Erwan Gautier, 2009. "Les ajustements microéconomiques des prix : une synthèse des modèles théoriques et résultats empiriques," Revue d'économie politique, Dalloz, vol. 119(3), pages 323-372.
    18. B. Verhelst & D. Van Den Poel, 2010. "Price rigidity in Europe and the US: A comparative analysis using scanner data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/684, Ghent University, Faculty of Economics and Business Administration.
    19. Emmanuel Dhyne, 2009. "A global assessment of the degree of price stickiness - results from the NBB Business survey," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 52(1), pages 57-77.
    20. Etienne Gagnon, 2009. "Price Setting during Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, Oxford University Press, vol. 124(3), pages 1221-1263.

    More about this item

    Keywords

    Price Dispersion; Regional Economics;

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fedlwp:2018-010. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/frbslus.html .

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.