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.
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EXPORTERS, SKILL UPGRADING AND THE WAGE GAP*
November 1994
Working Paper Number:
CES-94-13
This paper examines plant level evidence on the increase in demand for non-production workers in U.S. manufacturing during the 1980's. The major finding is that increases in employment at exporting plants contribute heavily to the observed increase in relative demand for skilled labor in manufacturing during the period. Exporters account for almost all of the increase in the wage gap between high and low-skilled workers. Tests of the competing theories with plant level data show that demand changes associated with increased exports are strongly associated with the wage gap increases. Increases in plant technology are determinants of within plant skill-upgrading but not of the aggregate wage gap rise.
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Entry, Exit, and the Determinants of Market Structure
September 2009
Working Paper Number:
CES-09-23
Market structure is determined by the entry and exit decisions of individual producers. These decisions are driven by expectations of future profits which, in turn, depend on the nature of competition within the market. In this paper we estimate a dynamic, structural model of entry and exit in an oligopolistic industry and use it to quantify the determinants of market structure and long-run firm values for two U.S. service industries, dentists and chiropractors. We find that entry costs faced by potential entrants, fixed costs faced by incumbent producers, and the toughness of short-run price competition are all important determinants of long run firm values and market structure. As the number of firms in the market increases, the value of continuing in the market and the value of entering the market both decline, the probability of exit rises, and the probability of entry declines. The magnitude of these effects differ substantially across markets due to differences in exogenous cost and demand factors and across the dentist and chiropractor industries. Simulations using the estimated model for the dentist industry show that pressure from both potential entrants and incumbent firms discipline long-run profits. We calculate that a seven percent reduction in the mean sunk entry cost would reduce a monopolist's long-run profits by the same amount as if the firm operated in a duopoly.
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Firm Entry and Exit in the U.S. Retail Sector, 1977-1997
October 2004
Working Paper Number:
CES-04-17
The development of longitudinal micro datasets in recent years has helped economists develop a number of stylized facts about producer dynamics. However, most of the widely cited studies use only manufacturing data. This paper uses the newly constructed Longitudinal Business Database (LBD) to examine producer dynamics in the U.S. the retail sector. The LBD is constructed by linking twenty-six years (1975-2000) of the U.S. Census Bureau's Business Register at the establishment level. The result is a dataset on the universe of employer establishments in the U.S. on an annual basis with detailed geographic, industry, firm ownership, and employment information. We use the LBD to examine patterns of firm entry and exit in the U.S. retail sector. We find that many of the patterns observed by Dunne, Roberts, and Samuelson (1988) are also observed within the retail sector, but interesting and important differences do exist.
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Earnings Inequality and Coordination Costs: Evidence from U.S. Law Firms
September 2009
Working Paper Number:
CES-09-24
Earnings inequality has increased substantially since the 1970s. Using evidence from confidential Census data on U.S. law offices on lawyers' organization and earnings, we study the extent to which the mechanism suggested by Lucas (1978) and Rosen (1982), a scale of operations effect linking spans of control and earnings inequality, is responsible for increases in inequality. We first show that earnings inequality among lawyers increased substantially between 1977 and 1992, and that the distribution of partner-associate ratios across offices changed in ways consistent with the hypothesis that coordination costs fell during this period. We then propose a 'hierarchical production function' in which output is the product of skill and time and estimate its parameters, applying insights from the equilibrium assignment literature. We find that coordination costs fell broadly and steadily during this period, so that hiring one's first associate leveraged a partner's skill by about 30% more in 1992 than 1977. We find also that changes in lawyers' hierarchical organization account for about 2/3 of the increase in earnings inequality among lawyers in the upper tail, but a much smaller share of the increase in inequality between lawyers in the upper tail and other lawyers. These findings indicate that new organizational efficiencies potentially explain increases in inequality, especially among individuals toward the top of the earnings distribution.
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Measuring Productivity Dynamics with Endogenous Choice of Technology and Capacity Utilization: An Application to Automobile Assembly
December 2000
Working Paper Number:
CES-00-16
During the 1980s, all Japanese automobile producers opened assembly plants in North America. Industry analysts and previous research claim that these transplants are more productive than incumbent plants and that they produce with a substantially different production process. We compare the two production processes by estimating a model that allows for heterogeneity in technology and productivity. We treat both types of heterogeneity as intrinsically unobservable. In the model, plants choose technology before production starts. They condition subsequent input decisions on this choice. Maximum likelihood estimation is used to estimate the unconditional distribution of the technology choice, output, and inputs. The model is applied to a sample of automobile assembly plants. We control for capacity utilization, unobserved productivity differences, and price effects. The results indicate that there exist two distinct technologies. In particular, the more recent technology uses labor less intensively and it has a higher elasticity of substitution between labor and capital. Hicks-neutral productivity growth is estimated to be lower, while capital-biased (labor-saving) productivity growth is estimated significantly higher, for the new technology. Using the estimation results, we decompose industry-wide productivity growth in plant-level changes and composition effects, for both technologies separately. Plant-level productivity growth is further decomposed to reveal the importance of capital-biased productivity growth, increase in capital-labor ratio, and returns to scale.
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Geographic Concentration as a Dynamic Process
March 1998
Working Paper Number:
CES-98-03
This degree of geographic concentration of individual manufacturing industries in the U.S. has declined only slightly in the last twenty years. At the same time, new plant births, plant expansions, contractions and closures have shifted large quantities of employment across plants, firms and locations. This paper uses data from the Census Bureau's Longitudinal Research Database to examine how relatively stable levels of geographic concentration emerge from this dynamic process. While industries agglomeration levels tend to remain fairly constant we find that there is a greater variation in the locations of these agglomerations. We then decompose aggregate concentration changes into portions attributable to plant births, expansions, contractions, and closures, and find that the location choices of new firms and differences in growth rates have played the most significant role in reducing levels of geographic concentration, while plant closures have tended to reinforce agglomeration. Finally, we look at coagglomeration patterns to test three of Marshall's theories of industry agglomeration: (1) agglomeration saves transport costs by proximity to input suppliers or final consumers, (2) agglomeration allows for labor market pooling, and (3) agglomeration facilitates intellectual spillovers. While there is some truth behind all three theories, we find that industrial location is far more driven by labor mix than by any of the other explanatory variables.
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Clusters of Entrepreneurship
October 2009
Working Paper Number:
CES-09-36
Employment growth is strongly predicted by smaller average establishment size, both across cities and across industries within cities, but there is little consensus on why this relationship exists. Traditional economic explanations emphasize factors that reduce entry costs or raise entrepreneurial returns, thereby increasing net returns and attracting entrepreneurs. A second class of theories hypothesizes that some places are endowed with a greater supply of entrepreneurship. Evidence on sales per worker does not support the higher returns for entrepreneurship rationale. Our evidence suggests that entrepreneurship is higher when fixed costs are lower and when there are more entrepreneurial people.
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Optimal Firm Size and the Growth of Conglomerate and Single-Industry Firms
October 1998
Working Paper Number:
CES-98-14
We develop a profit-maximizing neoclassical model of optimal firm size and growth across different industries based on differences in industry fundamentals and firm productivity. The model predicts how conglomerate firms will allocate resources across divisions over the business cycle and how their responses to industry shocks will differ from those of single-segment firms. We test our model and find that growth of conglomerate and single-segment firms is related to fundamental industry factors and individual firm-segment productivity suggested by our simple neoclassical theory. Conglomerates grow less in a particular segment if their other segments are more productive and if their other segments experience a larger positve demand shock. We find that the growth rates of peripheral segments are very sensitive to relative productivity an that conglomerate sharply cut the growth of unproductive peripheral segments. We do find some evidence consistent with agency problems for conglomerate firms that are broken up. However, the majority of conglomerate firms exhibit growth across business segments that is consistent with optimal behavior.
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Firm Performance And Evolution Empirical Regularities In The U.S. Microdata
October 1996
Working Paper Number:
CES-96-10
This paper presents a view of firm performance, industry evolution, and economic growth that contrasts with the traditional representative firm model. The paper reviews recent empirical work, primarily studies using the Longitudinal Research Database (LRD), that explicitly focuses on individual business units. The major empirical regularity in the studies is that heterogeneity is pervasive -- it is found across and within all sectors and across all plant characteristics. Further, firms are not only different in the cross-section. They enter at different times, make different choices, and react differently to economic shocks. Thus, to understand economic performance and competition, one must move beyond representative firm models. Competition must be understood as a process in which some firms choose correctly and grow while other firms choose poorly and die; the growth of the successful firms at the expense of less successful rivals drives economic growth.
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Do Conglomerate Firms Allocate Resources Inefficiently?
February 1999
Working Paper Number:
CES-99-11
We develop a profit-maximizing neoclassical of optimal firm size and growth across different industries. The model predicts how conglomerate firms will allocate resources across divisions over the business cycle and how their responses to industry shocks will differ from those of single-segment firms. We test our model and find that growth of conglomerate and single-segment firms is related to neoclassical theory. Conglomerates grow less in a particular segment of their other segments are more productive and if their other segments experience a larger positive demand shock. We find that the growth rates of peripheral segments are very sensitive to relative productivity and that conglomerates sharply cut the growth of unproductive peripheral segments. We do find some evidence consistent with agency problems for conglomerate firms that are broken up. However, the majority of conglomerate firms exhibit growth across business segments that is consistent with optimal behavior.
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