IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v164y2018icp124-127.html
   My bibliography  Save this article

The responses of internet retail prices to aggregate shocks: A high-frequency approach

Author

Listed:
  • Gorodnichenko, Yuriy
  • Sheremirov, Viacheslav
  • Talavera, Oleksandr

Abstract

Using a unique dataset of daily price listings and the associated number of clicks for precisely defined goods from a major shopping platform, we examine whether internet prices respond to aggregate shocks at a high frequency. We find little evidence that online prices respond promptly to unanticipated announcements about macroeconomic activity. Shopping activity also appears unresponsive to aggregate shocks, suggesting that internet retailers may follow individual demand for their products more closely than aggregate demand.

Suggested Citation

  • Gorodnichenko, Yuriy & Sheremirov, Viacheslav & Talavera, Oleksandr, 2018. "The responses of internet retail prices to aggregate shocks: A high-frequency approach," Economics Letters, Elsevier, vol. 164(C), pages 124-127.
    • Handle: RePEc:eee:ecolet:v:164:y:2018:i:c:p:124-127
    DOI: 10.1016/j.econlet.2018.01.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176518300144
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2018.01.014?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bilotkach, Volodymyr & Gorodnichenko, Yuriy & Talavera, Oleksandr, 2010. "Are airlines' price-setting strategies different?," Journal of Air Transport Management, Elsevier, vol. 16(1), pages 1-6.
    2. Jean Boivin & Marc P. Giannoni & Ilian Mihov, 2009. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," American Economic Review, American Economic Association, vol. 99(1), pages 350-384, March.
    3. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    4. Yuriy Gorodnichenko & Oleksandr Talavera, 2017. "Price Setting in Online Markets: Basic Facts, International Comparisons, and Cross-Border Integration," American Economic Review, American Economic Association, vol. 107(1), pages 249-282, January.
    5. Alberto Cavallo, 2018. "Scraped Data and Sticky Prices," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 105-119, March.
    6. 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.
    7. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dr. Barbara Rudolf & Pascal Seiler, 2022. "Price setting before and during the pandemic: evidence from Swiss consumer prices," Working Papers 2022-12, Swiss National Bank.
    2. Alex Nikolsko‐Rzhevskyy & Oleksandr Talavera & Nam Vu, 2023. "The flood that caused a drought," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 965-981, October.
    3. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    4. Glocker, Christian & Piribauer, Philipp, 2021. "Digitalization, retail trade and monetary policy," Journal of International Money and Finance, Elsevier, vol. 112(C).

    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. Alex Nikolsko‐Rzhevskyy & Oleksandr Talavera & Nam Vu, 2023. "The flood that caused a drought," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 965-981, October.
    2. Wu, Zhang & Chong, Terence Tai-Leung, 2019. "Price rigidity in China: Empirical results at home and abroad," China Economic Review, Elsevier, vol. 55(C), pages 218-235.
    3. 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.
    4. Ray, Sourav & Snir, Avichai & Levy, Daniel, 2023. "Retail Pricing Format and Rigidity of Regular Prices," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1-1.
    5. Sushant Acharya, 2017. "Costly Information, Planning Complementarities, and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 823-850, June.
    6. Andrade, Philippe & Zachariadis, Marios, 2016. "Global versus local shocks in micro price dynamics," Journal of International Economics, Elsevier, vol. 98(C), pages 78-92.
    7. Aleksandra Halka & Grzegorz Szafranski, 2018. "What Common Factors are Driving Inflation in CEE Countries?," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(2), pages 131-148.
    8. Kenza Benhima & Isabella Blengini, 2020. "Optimal Monetary Policy when Information is Market-Generated," The Economic Journal, Royal Economic Society, vol. 130(628), pages 956-975.
    9. Ricardo J. Caballero & Eduardo M.R.A. Engel, 2003. "Missing Aggregate Dynamics: On the Slow Convergence of Lumpy Adjustment Models," Cowles Foundation Discussion Papers 1430, Cowles Foundation for Research in Economics, Yale University, revised Apr 2008.
    10. David Staines, 2023. "Stochastic Equilibrium the Lucas Critique and Keynesian Economics," Papers 2312.16214, arXiv.org, revised Jun 2024.
    11. Mikael Carlsson & Oskar Nordstrom Skans, 2012. "Evaluating Microfoundations for Aggregate Price Rigidities: Evidence from Matched Firm-Level Data on Product Prices and Unit Labor Cost," American Economic Review, American Economic Association, vol. 102(4), pages 1571-1595, June.
    12. Kato, Ryo & Okuda, Tatsushi & Tsuruga, Takayuki, 2021. "Sectoral inflation persistence, market concentration, and imperfect common knowledge," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 500-517.
    13. Hong, Gee Hee & Klepacz, Matthew & Pasten, Ernesto & Schoenle, Raphael, 2023. "The real effects of monetary shocks: Evidence from micro pricing moments," Journal of Monetary Economics, Elsevier, vol. 139(C), pages 1-20.
    14. Maćkowiak, Bartosz & Moench, Emanuel & Wiederholt, Mirko, 2009. "Sectoral price data and models of price setting," Journal of Monetary Economics, Elsevier, vol. 56(S), pages 78-99.
    15. Gita Gopinath & Oleg Itskhoki, 2011. "In Search of Real Rigidities," NBER Chapters, in: NBER Macroeconomics Annual 2010, volume 25, pages 261-309, National Bureau of Economic Research, Inc.
    16. Craig Benedict & Mario J. Crucini & Anthony Landry, 2020. "On What States Do Prices Depend? Answers From Ecuador," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(8), pages 1909-1935, December.
    17. 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.
    18. Ryo Kato & Tatsushi Okuda, 2017. "Market Concentration and Sectoral Inflation under Imperfect Common Knowledge," IMES Discussion Paper Series 17-E-11, Institute for Monetary and Economic Studies, Bank of Japan.
    19. Alberto Cavallo, 2018. "Scraped Data and Sticky Prices," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 105-119, March.
    20. Tim Willems, 2017. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economic Journal, Royal Economic Society, vol. 127(604), pages 2216-2239, September.

    More about this item

    Keywords

    Online markets; Price stickiness; Aggregate shocks; High-frequency approach;
    All these keywords.

    JEL classification:

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

    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:eee:ecolet:v:164:y:2018:i:c:p:124-127. See general information about how to correct material in RePEc.

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.