IDEAS home Printed from https://ideas.repec.org/a/mes/postke/v43y2020i4p640-656.html
   My bibliography  Save this article

A missing element in the empirical post Keynesian theory of inflation—total credits to households: A first-differenced VAR approach to U.S. inflation

Author

Listed:
  • Hongkil Kim

Abstract

This paper analyzes U.S. inflation since the early 1980s, using the post Keynesian theory of inflation. Our empirical model that contains both supply- and demand-side variables is run over the total sample and the recent subsample after we notice a structural break in 2000Q3. The empirical results of the generalized impulse response analysis based on the estimated vector autoregression suggests that supply-side variables are significant in explaining U.S. inflation regardless of time, whereas the demand-side variable, the excess credit creation/depletion of households, is only crucial in the recent period. It demonstrates a missing element in the empirical post Keynesian theory of inflation. Furthermore, it is found that current monetary policy tools of maneuvering target interest rates and controlling monetary supply is not effective to their policy goals toward price stability.

Suggested Citation

  • Hongkil Kim, 2020. "A missing element in the empirical post Keynesian theory of inflation—total credits to households: A first-differenced VAR approach to U.S. inflation," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 43(4), pages 640-656, October.
  • Handle: RePEc:mes:postke:v:43:y:2020:i:4:p:640-656
    DOI: 10.1080/01603477.2019.1672559
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01603477.2019.1672559
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01603477.2019.1672559?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.

    Citations

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


    Cited by:

    1. Lucia Mandongwe & Stanley Murairwa & Phamela Dube, 2022. "A Theoretical Assessment of the Operational Budgets in Hyperinflation Countries, Lessons from Boarding Schools in Zimbabwe: Effects and Survival Strategies," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(6), pages 669-677, June.

    More about this item

    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:mes:postke:v:43:y:2020:i:4:p:640-656. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MPKE20 .

    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.