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NBER Patent Data-BR Bridge: User Guide and Technical Documentation
October 2010
Working Paper Number:
CES-10-36
This note provides details about the construction of the NBER Patent Data-BR concordance, and is intended for researchers planning to use this concordance. In addition to describing the matching process used to construct the concordance, this note provides a discussion of the benefits and limitations of this concordance.
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IT for Information-Based Partnerships: Empirical Analysis of Environmental Contingencies to Value Co-Creation
December 2009
Working Paper Number:
CES-09-42
We empirically examine IT value co-creation in supply chains, incorporating key contingencies of the competitive environment. Prior research suggests that IT used for strategic informationbased partnerships may benefit supply chains facing higher volatility, enabling tightly coupled integration and enhanced strategic response to changing consumer preferences. Analyzing a unique dataset comprising over 6,000 U.S. manufacturing plants, we obtain three principal results. First, value co-creation using either IT for strategic information-based partnerships (ITIP) or merely IT for transaction efficiency (ITT) is positive and significant. Second, the co-created value from ITIP is larger than that for (ITT), suggesting that information-based partnerships, while perhaps requiring a greater investment, yield a higher return. Third and most importantly, co-created value from using IT for information-based partnerships is positively moderated by demand volatility, i.e., value is greater in higher demand volatility environments. However, we find the opposite is true for using IT for efficient transactions. This is a new contribution to the literature and has important theoretical and practical implications.
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Why Do Firms Own Production Chains?
September 2009
Working Paper Number:
CES-09-31
Many firms own links of production chains--i.e., they own both upstream and downstream plants in vertically linked industries. We use broad-based yet detailed data from the economy's goods-producing sectors to investigate the reasons for such vertical ownership. It does not appear that vertical ownership is usually used to facilitate transfers of goods along the production chain, as is often presumed. Shipments from firms' upstream units to their downstream units are surprisingly low, relative to both the firms' total upstream production and their downstream needs. Roughly one-third of upstream plants report no shipments to their firms' downstream units. Half ship less than three percent of their output internally. We do find that manufacturing plants in vertical ownership structures have high measures of 'type' (productivity, size, and capital intensity). These patterns primarily reflect selective sorting of high plant types into large firms; once we account for firm size, vertical structure per se matters much less. We propose an alternative explanation for vertical ownership that is consistent with these results. Namely, that rather than moderating goods transfers down production chains, it instead allows more efficient transfers of intangible inputs (e.g., managerial oversight) within the firm. We document some suggestive evidence of this mechanism.
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Supersize It: The Growth of Retail Chains and the Rise of the "Big Box" Retail Format
August 2008
Working Paper Number:
CES-08-23R
This paper documents and explains the recent rise of "big-box" general merchandisers. Data from the Census of Retail Trade for 1977-2007 show that general-merchandise chains grew much faster than specialist retail chains, and that general merchandisers that added the most stores also made the biggest increases to their product offerings. We explain these facts with a stylized model in which a retailer's scale economies interact with consumer gains from one-stop shopping to generate a complementarity between a retailer's scale and scope.
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What Happens When Firms Patent? New Evidence from U.S. Economic Census Data
January 2008
Working Paper Number:
CES-08-03
In this study, we present novel statistics on the patenting in US manufacturing and new evidence on the question of what happens when firms patent. We do so by creating a comprehensive firm-patent matched dataset that links the NBER patent data (covering the universe of patents) to firm data from the US Census Bureau (which covers the universe of all firms with paid employees). Our linked dataset covers more than 48,000 unique assignees (compared to about 4,100 assignees covered by the Compustat-NBER link), representing almost two-thirds of all non-individual, non-university, non-government assignees from 1975 to 1997. We use the data to present some basic but novel statistics on the role of patenting in US manufacturing, including strong evidence confirming the highly skewed nature of patenting activity. Next, we examine what happens when firms patent by looking at a large sample of first time patentees. We find that while there are significant cross-sectional differences in size and total factor productivity between patentee firms and non-patentee firms, changes in patentownership status within firms is associated with a contemporaneous and substantial increase in firm size, but little to no change in total factor productivity. This evidence suggests that patenting is associated with firm growth through new product innovations (firm scope) rather than through reduction in the cost of producing existing products (firm productivity). Consistent with this explanation, we find that when firms patent, there is a contemporaneous increase in the number of products that the firms produce. Estimates of (within-firm) elasticity of firm characteristics to patent stock confirm our results. Our findings are robust to alternative measures of size and productivity, and to various sample selection criteria.
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The Industry R&D Survey: Patent Database Link Project
November 2006
Working Paper Number:
CES-06-28
This paper details the construction of a firm-year panel dataset combining the NBER Patent Dataset with the Industry R&D Survey conducted by the Census Bureau and National Science Foundation. The developed platform offers an unprecedented view of the R&D-to-patenting innovation process and a close analysis of the strengths and limitations of the Industry R&D Survey. The files are linked through a name-matching algorithm customized for uniting the firm names to which patents are assigned with the firm names in Census Bureau's SSEL business registry. Through the Census Bureau's file structure, this R&D platform can be linked to the operating performances of each firm's establishments, further facilitating innovation-to-productivity studies.
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How Businesses Use Information Technology: Insights for Measuring Technology and Productivity
June 2006
Working Paper Number:
CES-06-15
Business use of computers in the United States dates back fifty years. Simply investing in information technology is unlikely to offer a competitive advantage today. Differences in how businesses use that technology should drive differences in economic performance. Our previous research found that one business use ' computers linked into networks ' is associated with significantly higher labor productivity. In this paper, we extend our analysis with new information about the ways that businesses use their networks. Those data show that businesses conduct a variety of general processes over computer networks, such as order taking, inventory monitoring, and logistics tracking, with considerable heterogeneity among businesses. We find corresponding empirical diversity in the relationship between these on-line processes and productivity, supporting the heterogeneity hypothesis. On-line supply chain activities such as order tracking and logistics have positive and statistically significant productivity impacts, but not processes associated with production, sales, or human resources. The productivity impacts differ by plant age, with higher impacts in new plants. This new information about the ways businesses use information technology yields vital raw material for understanding how using information technology improves economic performance.
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How is Value Created in Spin-Offs? A Look Inside the Black Box
July 2005
Working Paper Number:
CES-05-09
Using a unique sample of plant level data from the Longitudinal Research Database (LRD), we identify (for the first time in the literature), how (the precise channel and mechanism), where (parent or subsidiary), and when (the dynamic pattern) performance improvements arise following corporate spinoffs. We identify the source of value improvements in spin-offs by comparing the magnitude of post-spinoff changes in the wages, employment, materials costs, rental and administrative expenses, sales, and capital expenditures in the plants belonging to firms undergoing spin-offs relative to the magnitude of such changes in a control group of plants belonging to firms not undergoing spin-offs. We show that the total factor productivity (TFP) of plants belonging to spin-off firms (parent or spun-off subsidiary) increase, on average, following the spin-off. This increase in overall productivity begins immediately, starting with the first year following the spin-off, and continuing in the years thereafter. This performance improvement can be attributed to a decrease in workers' wages, employment at the plant, decrease in the cost of materials purchased, as well as a decrease in rental and office expenditures, but not from improved product market performance by these plants. Further, such productivity improvements arise primarily in plants that remain with the parent; plants belonging to the spun-off subsidiary do not experience such productivity increases. However, contrary to speculation in the previous literature, plants that are spun-off do not underperform parent plants prior to the spin-off. Finally, in our split-sample study of plants that were acquired subsequent to the spin-off and those that were not, we find that productivity increases for both groups of plants: while such productivity increases start immediately after the spin-off for the nonacquired plants, for the acquired plants they occur only after being taken over by a better management team.
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The Myth of Decline: A New Perspective on the Supply Chain and Changing Inventory-Sales Ratios
October 2004
Working Paper Number:
CES-04-18
There is a widely held perception that improved supply chain practices and new technologies have led to declines in the inventory-sales ratio. Our empirical analyses of 87 inventory-sales ratios in 45 manufacturing, wholesale distribution, and retail trade industries casts doubt on assumptions of widespread declines in these ratios. We find that less than half of the ratios showed statistically significant declines during the 12 year period from January 1992 through December 2003. Information technology may indeed have improved inventory management, but this improvement is not reflected in inventory-sales ratio data for many U.S. industries. Our detailed case study of the pharmaceutical supply chain also offers additional insights by showing how relevant technological investments led to an extended period in which inventory-to-sales ratios increased.
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The Link Between Aggregate and Micro Productivity Growth: Evidence from Retail Trade
August 2002
Working Paper Number:
CES-02-18
Understanding the nature and magnitude of resource reallocation, particularly as it relates to productivity growth, is important both because it affects how we model and interpret aggregate productivity dynamics, and also because market structure and institutions may affect the reallocation's magnitude and efficiency. Most evidence to date on the connection between reallocation and productivity dynamics for the U.S. and other countries comes from a single industry: manufacturing. Building upon a unique establishment-level data set of U.S. retail trade businesses, we provide some of the first evidence on the connection between reallocation and productivity dynamics in a non-manufacturing sector. Retail trade is a particularly appropriate subject for such a study since this large industry lies at the heart of many recent technological advances, such as E-commerce and advanced inventory controls. Our results show that virtually all of the productivity growth in the U.S. retail trade sector over the 1990s is accounted for by more productive entering establishments displacing much less productive exiting establishments. Interestingly, much of the between-establishment reallocation is a within, rather than betweenfirm phenomenon.
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