IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v85y2023i5p1083-1110.html
   My bibliography  Save this article

Testing R&D‐Based Endogenous Growth Models

Author

Listed:
  • Peter K. Kruse‐Andersen

Abstract

This study examines US productivity growth through the lens of R&D‐based growth models. A general R&D‐based model, nesting different model varieties, is developed. These varieties are tested using a novel cointegrating relationship and US data for the period 1953–2018. The results provide evidence against the widely used fully endogenous variety and support for other varieties including the semi‐endogenous variety. Further, the results are systematically consistent with the presence of fishing‐out effects in knowledge production, implying that productivity‐enhancing innovations become increasingly harder to achieve as technologies become more advanced. Forecasts suggest that the US productivity growth slowdown continues over the coming decades.

Suggested Citation

  • Peter K. Kruse‐Andersen, 2023. "Testing R&D‐Based Endogenous Growth Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 1083-1110, October.
  • Handle: RePEc:bla:obuest:v:85:y:2023:i:5:p:1083-1110
    DOI: 10.1111/obes.12552
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/obes.12552
    Download Restriction: no

    File URL: https://libkey.io/10.1111/obes.12552?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
    ---><---

    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:bla:obuest:v:85:y:2023:i:5:p:1083-1110. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.html .

    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.