IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/122.html
   My bibliography  Save this paper

R&D spending and manufacturing productivity: an empirical analysis

Author

Listed:
  • Eric J. Bartelsman

Abstract

No abstract is available for this item.

Suggested Citation

  • Eric J. Bartelsman, 1990. "R&D spending and manufacturing productivity: an empirical analysis," Finance and Economics Discussion Series 122, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:122
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    2. Mamuneas, Theofanis P. & Ishaq Nadiri, M., 1996. "Public R&D policies and cost behavior of the US manufacturing industries," Journal of Public Economics, Elsevier, vol. 63(1), pages 57-81, December.
    3. Haskel, J & Goodridge, P & Hughes, A & Wallis, G, 2015. "The contribution of public and private R&D to UK productivity growth," Working Papers 21171, Imperial College, London, Imperial College Business School.
    4. Mamuneas, Theofanis P., 1999. "Spillovers from publicly financed R&D capital in high-tech industries," International Journal of Industrial Organization, Elsevier, vol. 17(2), pages 215-239, February.
    5. Roel van Elk & Bas ter Weel & Karen van der Wiel & Bram Wouterse, 2019. "Estimating the Returns to Public R&D Investments: Evidence from Production Function Models," De Economist, Springer, vol. 167(1), pages 45-87, March.

    More about this item

    Keywords

    Productivity; Research and development;

    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:fip:fedgfe:122. 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: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.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.