Papers Containing Keywords(s): 'stock'
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Viewing papers 31 through 34 of 34
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Working PaperScience, R&D, And Invention Potential Recharge: U.S. Evidence
January 1993
Working Paper Number:
CES-93-02
The influence of academic science on industrial R&D seems to have increased in recent years compared with the pre-World War II period. This paper outlines an approach to tracing this influence using a panel of 14 R&D performing industries from 1961-1986. The results indicate an elasticity between real R&D and indicators of stocks of academic science of about 0.6. This elasticity is significant controlling for industry effects. However, the elasticity declines from its level during the 1961-1973 subperiod, when it was 2.2, to 0.5 during the 1974-1986 subperiod. Reasons for the decline include exogenous and endogenous exhaustion of invention potential, and declining incentives to do R&D stemming from a weakening of intellectual property rights. The growth of R&D since the mid-1980s suggests a restoration of R&D incentives in still more recent times.View Full Paper PDF
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Working PaperAcademic Science, Industrial R&D, and the Growth of Inputs
January 1993
Working Paper Number:
CES-93-01
This paper is a theoretical and empirical investigation of the connection between science, R&D, and the growth of capital. Studies of high technology industries and recent labor studies agree in assigning a large role to science and technology in the growth of human and physical capital, although direct tests of these relationships have not been carried out. This paper builds on the search approach to R&D of Evenson and Kislev (1976) to unravel the complex interactions between science, R&D, and factor markets suggested by these studies. In our theory lagged science increases the returns to R&D, so that scientific advance later feeds into growth of R&D. In turn, product quality improvements and price declines lead to the growth of industry by shifting out new product demand, perhaps at the expense of traditional industries. All this tends to be in favor of the human and physical capital used intensively by high technology industries. This is the source of the factor bias which is implicit in the growth of capital per head. Our empirical work overwhelmingly supports the contention that growth of labor skills and physical capital are linked to science and R&D. It also supports the strong sequencing of events that is a crucial feature of our model, first from science to R&D, and later to output and factor markets.View Full Paper PDF
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Working PaperThe Time-Series Pattern Of Firm Growth In Two Industries
September 1992
Working Paper Number:
CES-92-10
Using a unique firm-level longitudinal data set that covers both the manufacturing and finance, insurance and real estate (FIRE) industries, this paper examines the time-series pattern of firm growth both immediately after entry and immediately prior to exit, and compares these patterns across the two industries. While previous research has examined the post-entry time-series behavior of firms, this research has focused exclusively on manufacturing firms. Examining the behavior of nonmanufacturing firms is important for two reasons. First, since the relative importance of the manufacturing industry has been declining recently, the behavior of manufacturing firms may be much different than the behavior of firms in an expanding industry, such as FIRE. Thus, comparing the growth of firms in a nonmanufacturing industry, with the growth of manufacturing firms provides more general knowledge about firm behavior. Second, since any good theory of firm dynamics should explain cross-industry differences in firm behavior, cross-industry differences in behavior must be documented before models of this type can be developed. The main finding of this paper are: (1) relative to FIRE firms, manufacturing firms experience more periods of above average growth immediately after entry; (2) relative to FIRE firms, manufacturing firms experience more periods of below average growth immediately prior to exit; and (3) relative to the growth of manufacturing firms, the growth of the typical FIRE firm is much more responsive to transitory shocks.View Full Paper PDF
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Working PaperEstimating Capital Efficiency Schedules Within Production Functions
May 1992
Working Paper Number:
CES-92-04
The appropriate method for aggregating capital goods across vintages to produce a single capital stock measure has long been a contentious issue, and the literature covering this topic is quite extensive. This paper presents a methodology that estimates efficiency schedules within a production function, allowing the data to reveal how the efficiency of capital goods evolve as they age. Specifically we insert a parameterized investment stream into the position of a capital variable in a production function, and then estimate the parameters of the production function simultaneously with the parameters of the investment stream. Plant level panel data for a select group of steel plants employing a common technology are used to estimate the model. Our primary finding is that when using a simple Cobb Douglas production function, the estimated efficiency schedules appear to follow a geometric pattern, which is consistent with the estimates of economic depreciation of Hulten and Wykoff (1981). Results from more flexible functional forms produced much less precise and unreliable estimates.View Full Paper PDF
