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The Distribution of the Size of Price Changes

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  • Cavallo, Alberto

    (MIT Sloan.)

  • Rigobon, Roberto

    (MIT Sloan & NBER.)

Abstract

Different theories of price stickiness have distinct implications on the number of modes in the distribution of price changes. We formally test for the number of modes in the price change distribution of 36 supermarkets, spanning 22 countries and 5 continents. We present results for three modality tests: the two best-known tests in the statistical literature, Hartigan's Dip and Silverman's Bandwidth, and a test designed in this paper, called the Proportional Mass test (PM). Three main results are uncovered. First, when the traditional tests are used, unimodality is rejected in about 90 percent of the retailers. When we used the PM test, which reduces the impact of smaller modes in the distribution and can be applied to test for modality around zero percent, we still reject unimodality in two thirds of the supermarkets. Second, category-level heterogeneity can account for about half of the PM test's rejections of unimodality. Finally, a simulation of the model in Alvarez, Lippi, and Paciello (2010) shows that the data is consistent a combination of both time and state-dependent pricing behaviors.

Suggested Citation

  • Cavallo, Alberto & Rigobon, Roberto, 2011. "The Distribution of the Size of Price Changes," Working Papers 2011-011, Banco Central de Reserva del Perú.
  • Handle: RePEc:rbp:wpaper:2011-011
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    5. Fernando Alvarez & Francesco Lippi, 2014. "Price Setting With Menu Cost for Multiproduct Firms," Econometrica, Econometric Society, vol. 82(1), pages 89-135, January.
    6. Choudhary, M. Ali & Faheem, Abdul & Hanif, M. Nadim & Naeem, Saima & Pasha, Farooq, 2016. "Price setting & price stickiness: A developing economy perspective," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 44-61.
    7. Fabrice Defever & Alejandro Riano, 2017. "Twin peaks," Discussion Papers 2017-15, University of Nottingham, GEP.
    8. Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Suhas Vijaykumar & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Shan Wan, 2023. "Hedonic Prices and Quality Adjusted Price Indices Powered by AI," Papers 2305.00044, arXiv.org.
    9. Erwan Gautier & Ronan Le Saout, 2015. "The Dynamics of Gasoline Prices: Evidence from Daily French Micro Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(6), pages 1063-1089, September.
    10. Mr. Balazs Csonto & Yuxuan Huang & Mr. Camilo E Tovar Mora, 2019. "Is Digitalization Driving Domestic Inflation?," IMF Working Papers 2019/271, International Monetary Fund.
    11. 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.
    12. Stéphane Dupraz, 2024. "A Kinked‐Demand Theory of Price Rigidity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(2-3), pages 325-363, March.
    13. Steffen Ahrens & Stephen Sacht, 2014. "Estimating a high-frequency New-Keynesian Phillips curve," Empirical Economics, Springer, vol. 46(2), pages 607-628, March.
    14. Erwan Gautier & Ronan Le Saout, 2015. "L'ajustement microéconomique des prix des carburants en France," Working Papers hal-01195759, HAL.
    15. Martin Eichenbaum & Nir Jaimovich & Sergio Rebelo & Josephine Smith, 2014. "How Frequent Are Small Price Changes?," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(2), pages 137-155, April.
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    17. Oriol Valles Codina, 2020. "Economic Production as Life: A Classical Approach to Computational Social Science," Working Papers 2001, New School for Social Research, Department of Economics.
    18. Alberto Cavallo, 2018. "Scraped Data and Sticky Prices," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 105-119, March.
    19. Kochen Federico, 2016. "Price-Setting in Mexico and the Real Effects of Monetary Shocks," Working Papers 2016-21, Banco de México.

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    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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