Papers Containing Keywords(s): 'capital'
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Viewing papers 21 through 25 of 25
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Working PaperCapital Structure And Product Market Rivalry: How Do We Reconcile Theory And Evidence?
February 1995
Working Paper Number:
CES-95-03
This paper presents empirical evidence on the interaction of capital structure decisions and product market behavior. We examine when firms recapitalize and increase the proportion of debt in their capital structure. The evidence in this paper shows that firms with low productivity plants in highly concentrated industries are more likely to recapitalize and increase debt financing. This finding suggests that debt plays a role in highly concentrated industries where agency costs are not significantly reduced by product market competition. Following the empirical evidence we introduce the "strategic investment" effects of debt and argue that this effect, in conjunction with agency costs, appears to fit the data.View Full Paper PDF
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Working PaperFirms Started As Franchises Have Lower Survival Rates Than Independent Small Business Startups
May 1994
Working Paper Number:
CES-94-03
Aspiring entrepreneurs choosing to become franchisees certainly expect to improve their chances of survival during the turbulent early years of business startup and operation. Alignment with a franchiser parent company offers the franchisee managerial assistance, access to financial capital, and access to markets via the right to utilize the parent company trademark. This study examines survival patterns among franchise and nonfranchise small firms started between 1984 and 1987: survival through late 1991 is tracked for all firms. Although the franchise operations are larger scale, better capitalized young firms, the independent business startups are found to be more profitable and their survival prospects are better than those of franchises.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 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
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Working PaperDecomposing Technical Change
May 1991
Working Paper Number:
CES-91-04
A production function is specified with human capital as a separate argument and with embodied technical change proxied by a variable that measures the average vintage of the stock of capital. The coefficients of this production function are estimated with cross section data for roughly 2,150 new manufacturing plants in 41 industries, and for subsets of this sample. The question of interactions between new investment and initial endowments of capital is then examined with data for roughly 1,400 old plants in 15 industries.View Full Paper PDF
