IDEAS home Printed from https://ideas.repec.org/p/cen/wpaper/89-2.html
   My bibliography  Save this paper

Using Linked Census R&D-Lrd Data To Analyze The Effect Of R&D Investment On Total Factor Productivity Growth

Author

Listed:
  • Donald Siegel
  • Frank R Lichtenberg

Abstract

Previous studies have demonstrated that productivity growth is positively correlated with the intensity of R&D investment. However, existing studies of this relationship at the micro (firm or line of business) level have been subject to some important limitations. The most serious of these has been an inability to adequately control for the diversified activities of corporations. This study makes use of linked Census R&D - LRD data, which provides comprehensive information on each firms' operations at the 4-digit SIC level. A marked improvement in explaining the association between R&D and TFP occurs when we make appropriate use of the data by firm by industry. Significant relationships between the intensities of investment in total, basic, and company-funded R&D, and TFP growth are confirmed.

Suggested Citation

  • Donald Siegel & Frank R Lichtenberg, 1989. "Using Linked Census R&D-Lrd Data To Analyze The Effect Of R&D Investment On Total Factor Productivity Growth," Working Papers 89-2, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:89-2
    as

    Download full text from publisher

    File URL: https://www2.census.gov/ces/wp/1989/CES-WP-89-02.pdf
    Download Restriction: no

    Citations

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


    Cited by:

    1. Chandana Chakraborty & Romesh Diwan, 1989. "R&D and Components of Technical Change," Eastern Economic Journal, Eastern Economic Association, vol. 15(4), pages 365-371, Oct-Dec.
    2. Douglas W Dwyer, 1995. "Whittling Away At Productivity Dispersion," Working Papers 95-5, Center for Economic Studies, U.S. Census Bureau.
    3. Ron Jarmin, 1995. "Using Matched Client And Census Data To Evaluate The Performance Of The Manufacturing Extension Partnership," Working Papers 95-7, Center for Economic Studies, U.S. Census Bureau.
    4. Lucia Foster & Cheryl Grim, 2010. "Characteristics of the Top R&D Performing Firms in the U.S.: Evidence from the Survey of Industrial R&D," Working Papers 10-33, Center for Economic Studies, U.S. Census Bureau.
    5. Nguyen, Sang V. & Kokkelenberg, Edward C., 1990. "Measuring Total Factor Productivity, Technical Change and the Rate of Returns to Research and Development," Working Papers 179215, Cornell University, Department of Applied Economics and Management.

    More about this item

    Keywords

    CES; economic; research; micro; data; microdata; chief; economist;

    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:cen:wpaper:89-2. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Erica Coates). General contact details of provider: http://edirc.repec.org/data/cesgvus.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.