IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipcs154461232300867x.html
   My bibliography  Save this article

Commodity price shocks, supply chain disruptions and U.S. inflation

Author

Listed:
  • Diaz, Elena Maria
  • Cunado, Juncal
  • de Gracia, Fernando Perez

Abstract

This paper analyzes the impact of commodity price shocks and global supply chain disruptions on U.S. inflation rates. Based on the idea that the inflationary effect of particular commodities is time-varying, our main contribution is to construct a Cost-Push Commodity (CPC) factor through a genetic algorithm which allows to recursively select the combination of commodity prices that best explain U.S. inflation over time. When this factor is included into a Structural Vector Autoregressive (SVAR) model, average and time-varying impulse response functions show how the U.S. inflation rate has responded to commodity price shocks and supply chain disruptions over the sample period, including the crisis caused by the COVID-19 pandemic. Important policy implications can be derived from these results.

Suggested Citation

  • Diaz, Elena Maria & Cunado, Juncal & de Gracia, Fernando Perez, 2023. "Commodity price shocks, supply chain disruptions and U.S. inflation," Finance Research Letters, Elsevier, vol. 58(PC).
  • Handle: RePEc:eee:finlet:v:58:y:2023:i:pc:s154461232300867x
    DOI: 10.1016/j.frl.2023.104495
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S154461232300867X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104495?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.

    More about this item

    Keywords

    Cost-push commodity factor; Supply chain disruptions; Inflation; Structural VAR;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts

    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:finlet:v:58:y:2023:i:pc:s154461232300867x. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/frl .

    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.