NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

An Extended Accelerator Model of R&D and Physical Investment

Jacques Mairesse, Alan K. Siu

NBER Working Paper No. 968*
Issued in August 1982
NBER Program(s):   PR

Using a multivariate autoregressive framework, we have found a simple causal structure for the variables of interest q, s, r, and i, which is consistent with our data. As expected from the stock market efficiency hypothesis, q, the stock market one period holding rate of return, is exogenous relative to the other three variables (or Granger causes them). As postulated in the traditional accelerator model of investment, the rate of growth of sales, s, can be also treated as exogenous to the rates of growth of R&D and physical. investment, r and i. Moreover, no strong feed- back interaction is detected between the last two (r and i). Within the simple structure of the extended accelerator model, the substantive conclusion is that R&D and physical investment react very similarly to the growth of the sales and to movements in q; the response of R&D is, however, more stable or less irregular than that of physical investment. Expected demand and expected profitability thus both appear to be important determinants for R&D expenditures and physical investment.

*Published: This paper was subsequently published as An Extended Accelerator Model of R&D and Physical Investment, Jacques Mairesse, Alan K. Siu, in NBER book R & D, Patents, and Productivity (1984)

You may purchase this paper on-line in .pdf format from SSRN.com ($5) for electronic delivery.

Information about Free Papers

You should expect a free download if you are a subscriber, a corporate associate of the NBER, a journalist, a site with your domain name in ".GOV", or a resident of nearly any developing country or transition economy.

If you usually get free papers at work/university but do not at home, you can either connect to your work VPN or proxy (if any) or elect to have a link to the paper emailed to your work email address below. The email address must be connected to a subscribing college, university, or other subscribing institution. Gmail and other free email addresses will not have access.

E-mail:

Machine-readable bibliographic record - MARC, RIS, BibTeX

 
Publications
Activities
Meetings
Data
People
About

National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email: info@nber.org