Research and Development as an Investment
About 20 percent of the gross investment expenditures of U.S. manufacturing firms is expenditures on research and development. Like investment in physical capital, R&D also responds to news about future prospects of the firm, such as profitability, technological opportunities, or changes in factor prices. Using data from a panel of large U.S. manufacturing firms that was developed within the Productivity Program of the NBER, we investigate the differential responses of these two types of investment to changes in the value of the firm's assets as perceived by financial markets and the interaction of these responses. In order to study this topic empirically, we develop a stochastic dynamic programming model of a firm with two types of capital (physical and knowledge capital) which are used to produce profits. A feature of the model is the distinction between the accumulation of the two kinds of capital: expenditures on the physical capital stock are incurred one or more years before the capital actually becomes productive, whereas R&D capital is produced jointly as a function of current expenditure and the past technological position of the firm. Two individual firm specific shocks are considered: one to the overall profitability of the firm, and one to the "productivity" of R&D. In the empirical estimates, we find that these two shocks account for about 20 percent of the total variance in net investment, 15 percent of the variance in the firm-level R&D to capital ratio, but only about 5 percent of the annual rates of return. The profitability shock is well described by a moving average process of order three, while the technology shock process is more nearly permanent: first order autoregressive with parameter near unity.
(This abstract was borrowed from another version of this item.)
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" 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.
|Date of creation:||01 May 1989|
|Date of revision:|
|Contact details of provider:|| Postal: University of California at Berkeley, Berkeley, CA USA|
Web page: http://www.haas.berkeley.edu/groups/iber/wps/econwp.html
More information through EDIRC
|Order Information:|| Postal: IBER, F502 Haas Building, University of California, Berkeley CA 94720-1922|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Pakes, Ariel, 1985.
"On Patents, R & D, and the Stock Market Rate of Return,"
3436409, Harvard University Department of Economics.
- Pakes, Ariel, 1985. "On Patents, R&D, and the Stock Market Rate of Return," Journal of Political Economy, University of Chicago Press, vol. 93(2), pages 390-409, April.
- Griliches, Zvi, 1981.
"Market value, R&D, and patents,"
Elsevier, vol. 7(2), pages 183-187.
- Hayashi, Fumio, 1982.
"Tobin's Marginal q and Average q: A Neoclassical Interpretation,"
Econometric Society, vol. 50(1), pages 213-24, January.
- Fumio Hayashi, 1981. "Tobin's Marginal q and Average a : A Neoclassical Interpretation," Discussion Papers 457, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Ariel Pakes & Zvi Griliches, 1982.
"Estimating Distributed Lags in Short Panels with an Application to the Specification of Depreciation Patterns and Capital Stock Constructs,"
NBER Working Papers
0933, National Bureau of Economic Research, Inc.
- Ariél Pakes & Zvi Griliches, 1984. "Estimating Distributed Lags in Short Panels with an Application to the Specification of Depreciation Patterns and Capital Stock Constructs," Review of Economic Studies, Oxford University Press, vol. 51(2), pages 243-262.
- Poterba, James M. & Summers, Lawrence H., 1988.
"Mean reversion in stock prices : Evidence and Implications,"
Journal of Financial Economics,
Elsevier, vol. 22(1), pages 27-59, October.
- James M. Poterba & Lawrence H. Summers, 1987. "Mean Reversion in Stock Prices: Evidence and Implications," NBER Working Papers 2343, National Bureau of Economic Research, Inc.
- Kydland, Finn E & Prescott, Edward C, 1982.
"Time to Build and Aggregate Fluctuations,"
Econometric Society, vol. 50(6), pages 1345-70, November.
- Finn E. Kydland & Edward C. Prescott, 1982. "Executable program for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4, Quantitative Macroeconomics & Real Business Cycles.
- Finn E. Kydland & Edward C. Prescott, 1982. "Web interface for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4a, Quantitative Macroeconomics & Real Business Cycles.
- Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-74, May.
- Bronwyn H. Hall & Zvi Griliches & Jerry A. Hausman, 1984. "Patents and R&D: Is There A Lag?," NBER Working Papers 1454, National Bureau of Economic Research, Inc.
When requesting a correction, please mention this item's handle: RePEc:ucb:calbwp:89-108. 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: (Christopher F. Baum)
If references are entirely missing, you can add them using this form.