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AN 'ALGORITHMIC LINKS WITH PROBABILITIES' CONCORDANCE FOR TRADEMARKS: FOR DISAGGREGATED ANALYSIS OF TRADEMARK & ECONOMIC DATA

September 2013

Abstract

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The 10 most similar working papers to the working paper 'AN 'ALGORITHMIC LINKS WITH PROBABILITIES' CONCORDANCE FOR TRADEMARKS: FOR DISAGGREGATED ANALYSIS OF TRADEMARK & ECONOMIC DATA' are listed below in order of similarity.

• Working Paper

  🔥

  
  
  Getting Patents and Economic Data to Speak to Each Other: An 'Algorithmic Links with Probabilities' Approach for Joint Analyses of Patenting and Economic Activity
  

  September 2012

  Authors: Travis J. Lybbert, Nikolas Zolas

  Working Paper Number:

  CES-12-16

  International technological diffusion is a key determinant of cross-country differences in economic performance. While patents can be a useful proxy for innovation and technological change and diffusion, fully exploiting patent data for such economic analyses requires patents to be tied to measures of economic activity. In this paper, we describe and explore a new algorithmic approach to constructing concordances between the International Patent Classification (IPC) system that organizes patents by technical features and industry classification systems that organize economic data, such as the Standard International Trade Classification (SITC), the International Standard Industrial Classification (ISIC) and the Harmonized System (HS). This 'Algorithmic Links with Probabilities' (ALP) approach incorporates text analysis software and keyword extraction programs and applies them to a comprehensive patent dataset. We compare the results of several ALP concordances to existing technology concordances. Based on these comparisons, we select a preferred ALP approach and discuss advantages of this approach relative to conventional approaches. We conclude with a discussion on some of the possible applications of the concordance and provide a sample analysis that uses our preferred ALP concordance to analyze international patent flows based on trade patterns.
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• Working Paper

  
  
  An 'Algorithmic Links with Probabilities' Crosswalk for USPC and CPC Patent Classifications with an Application Towards Industrial Technology Composition
  

  March 2016

  Authors: Travis J. Lybbert, Nikolas Zolas, Nathan Goldschlag

  Working Paper Number:

  CES-16-15

  Patents are a useful proxy for innovation, technological change, and diffusion. However, fully exploiting patent data for economic analyses requires patents be tied to measures of economic activity, which has proven to be difficult. Recently, Lybbert and Zolas (2014) have constructed an International Patent Classification (IPC) to industry classification crosswalk using an 'Algorithmic Links with Probabilities' approach. In this paper, we utilize a similar approach and apply it to new patent classification schemes, the U.S. Patent Classification (USPC) system and Cooperative Patent Classification (CPC) system. The resulting USPC-Industry and CPC-Industry concordances link both U.S. and global patents to multiple vintages of the North American Industrial Classification System (NAICS), International Standard Industrial Classification (ISIC), Harmonized System (HS) and Standard International Trade Classification (SITC). We then use the crosswalk to highlight changes to industrial technology composition over time. We find suggestive evidence of strong persistence in the association between technologies and industries over time.
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• Working Paper

  
  
  An Anatomy of U.S. Firms Seeking Trademark Registration
  

  April 2018

  Authors: Emin Dinlersoz, Nikolas Zolas, Nathan Goldschlag, Amanda Myers

  Working Paper Number:

  CES-18-22

  This paper reports on the construction of a new dataset that combines data on trademark applications and registrations from the U.S. Patent and Trademark Office with data on firms from the U.S. Census Bureau. The resulting dataset allows tracking of various activity related to trademark use and protection over the life-cycle of firms, such as the first application for a trademark registration, the first use of a trademark, and the renewal, assignment, and cancellation of trademark registrations. Facts about firm-level trademark activity are documented, including the incidence and timing of trademark registration filings over the firm life-cycle and the connection between firm characteristics and trademark applications. We also explore the relation of trademark application filing to firm employment and revenue growth, and to firm innovative activity as measured by R&D and patents.
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• Working Paper

  
  
  Are Customs Records Consistent Across Countries? Evidence from the U.S. and Colombia
  

  March 2020

  Authors: C.J. Krizan, James Tybout, Zi Wang, Yingyan Zhao

  Working Paper Number:

  CES-20-11

  In many countries, official customs records include identifying information on the exporting and importing firms involved in each shipment. This information allows researchers to study international business networks, offshoring patterns, and the micro-foundations of aggregate trade flows. It also provides the government with a basis for tariff assessments at the border. However, there are no mechanisms in place to ensure that the shipment-level information recorded by the exporting country is consistent with the shipment-level information recorded by the importing country. And to the extent that there are discrepancies, it is not clear how prevalent they are or what form they take. In this paper we explore these issues, both to enhance our understanding of the limitations of customs records, and to inform future discussions of possible revisions in the way they are collected. Specifically, we match U.S.-bound export shipments that appear in Colombian Customs records (DIAN) with their counterparts in the US Customs records (LFTTD): U.S. import shipments from Colombia. Several patterns emerge. First, differences in the coverage of the two countries customs records lead to significant discrepancies in the official bilateral trade flow statistics of these two countries: the DIAN database records 8 percent fewer transactions than the LFTTD database over the sample period, and the average export shipment size in the DIAN is roughly 4 percent smaller than the corresponding import shipment size in the LFTTD. These discrepancies are not due to difference in minimum shipment sizes and they are not particular to a few sectors, though they are more common among small shipments and they evolve over time. Second, if we rely exclusively on firms' names and addresses, ignoring other shipment characteristics (value, product code, etc.), we are able to match 85 percent of the value of U.S. imports from Colombia in our LFTTD sample with particular Colombian suppliers in the DIAN. Further, fully 97 percent of the value of Colombian exports to the U.S. can be mapped onto particular importers in the U.S. LFTTD. Third, however, match rates at the shipment level within buyer-seller pairs are low. That is, while buyers and sellers can be paired up fairly accurately, only 25-30 percent of the individual transactions in the customs records of the two countries can be matched using fuzzy algorithms at reasonable tolerance levels. Fourth, the manufacturer ID (MANUF_ID) that appears in the LFTTD implies there are roughly twice as many Colombian exporters as actually appear in the DIAN. And similar comments apply to an analogous MANUF_ID variable constructed from importer name and address information in the DIAN. Hence studies that treat each MANUF_ID value as a distinct firm are almost surely overstating the number of foreign firms that engage in trade with the U.S. by a substantial amount. Finally, we conclude that if countries were to require that exporters report standardized shipment identifiers'either invoice numbers or bill of lading/air waybill numbers'it would be far easier to track individual transactions and to identify international discrepancies in reporting.
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• Working Paper

  
  
  Firms in International Trade
  

  April 2007

  Authors: J. Bradford Jensen, Andrew Bernard, Peter Schott, Stephen Redding

  Working Paper Number:

  CES-07-14

  Standard models of international trade devote little attention to firms. Yet of the 5.5 million firms operating in the United States in 2000, just 4 percent engaged in exporting, and the top 10 percent of these exporting firms accounted for 96 percent of U.S. exports. Since the mid 1990s, a large number of empirical studies have provided a wealth of information about the important role that firms play in mediating countries' imports and exports. This research, based on micro datasets that track countries' production and trade at the firm level, demonstrates that trading firms differ substantially from firms that solely serve the domestic market. Across a wide range of countries and industries, exporters have been shown to be larger, more productive, more skill- and capital-intensive, and to pay higher wages than non-trading firms.2 Furthermore, these differences exist even before exporting begins. The ex ante 'superiority' of exporters suggests self-selection: exporters are more productive, not as a result of exporting, but because only the most productive firms are able to overcome the costs of entering export markets. It is precisely this sort of microeconomic heterogeneity that grants firms the ability to influence macroeconomic outcomes. When trade policy barriers fall or transportation costs decline, high-productivity exporting firms survive and grow while lower-productivity non-exporting firms are more likely to fail. This reallocation of economic activity across firms raises aggregate productivity and provides a new source of welfare gains from trade. Confronting the challenges posed by the analysis of micro data has shifted the focus of the international trade field from countries and industries towards firms and products. We highlight these challenges with a detailed analysis of how trading firms differ from non-trading firms in the United States. We show how these differences serve as the foundation of a series of recent heterogeneous-firm models that offer new insights into the causes and consequences of international trade. We then introduce a new set of stylized facts that emerge from analysis of recently available U.S. customs data. These transaction-level trade data track all of the products imported and exported by the U.S. firms to all of its trading partners from 1992 to 2000. They show that the extensive margins of trade ' that is, the number of products firms trade as well as the number of countries they trade with ' are central to understanding the well-known role of distance in dampening aggregate trade flows. We conclude with suggestions for further theoretical and empirical research.
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• Working Paper

  
  
  A Portrait of Firms that Invest in R&D
  

  January 2016

  Authors: Lucia Foster, Cheryl Grim, Nikolas Zolas

  Working Paper Number:

  CES-16-41

  We focus on the evolution and behavior of firms that invest in research and development (R&D). We build upon the cross-sectional analysis in Foster and Grim (2010) that identified the characteristics of top R&D spending firms and follow up by charting the behavior of these firms over time. Our focus is dynamic in nature as we merge micro-level cross-sectional data from the Survey of Industrial Research and Development (SIRD) and the Business Research & Development and Innovation Survey (BRDIS) with the Longitudinal Business Database (LBD). The result is a panel firm-level data set from 1992 to 2011 that tracks firms' performances as they enter and exit the R&D surveys. Using R&D expenditures to proxy R&D performance, we find the top R&D performing firms in the U.S. across all years to be large, old, multinational enterprises. However, we also find that the composition of R&D performing firms is gradually shifting more towards smaller domestic firms with expenditures being less sensitive to scale effects. We find a high degree of persistence for these firms over time. We chart the history of R&D performing firms and compare them to all firms in the economy and find substantial differences in terms of age, size, firm structure and international activity; these differences persist when looking at future firm outcomes.
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• Working Paper

  
  
  Identifying U.S. Merchandise Traders: Integrating Customs Transactions with Business Administrative Data
  

  September 2020

  Authors: Fariha Kamal, Wei Ouyang

  Working Paper Number:

  CES-20-28

  This paper describes the construction of the Longitudinal Firm Trade Transactions Database (LFTTD) enabling the identification of merchandise traders - exporters and importers - in the U.S. Census Bureau's Business Register (BR). The LFTTD links merchandise export and import transactions from customs declaration forms to the BR beginning in 1992 through the present. We employ a combination of deterministic and probabilistic matching algorithms to assign a unique firm identifier in the BR to a merchandise export or import transaction record. On average, we match 89 percent of export and import values to a firm identifier. In 1992, we match 79 (88) percent of export (import) value; in 2017, we match 92 (96) percent of export (import) value. Trade transactions in year t are matched to years between 1976 and t+1 of the BR. On average, 94 percent of the trade value matches to a firm in year t of the BR. The LFTTD provides the most comprehensive identification of and the foundation for the analysis of goods trading firms in the U.S. economy.
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• Working Paper

  
  
  Innovation and Appropriability: Revisiting the Role of Intellectual Property
  

  March 2022

  Authors: Timothy Simcoe, Filippo Mezzanotti

  Working Paper Number:

  CES-22-09

  It is more than 25 years since the authors of the Yale and Carnegie surveys studied how firms seek to protect the rents from innovation. In this paper, we revisit that question using a nationally representative sample of firms over the period 2008-2015, with the goal of updating and extending a set of stylized facts that has been influential for our understanding of the economics of innovation. There are five main findings. First, while patenting firms are relatively uncommon in the economy, they account for an overwhelming share of R&D spending. Second, utility patents are considered less important than other forms of IP protection, like trade secrets, trademarks, and copyrights. Third, industry differences explain a great deal of the level of firms' engagement with IP, with high-tech firms on average being more active on all forms of IP. Fourth, we do not find any significant difference in the use of IP strategies across firms at different points of their life cycle. Lastly, unlike age, firms of different size appear to manage IP significantly differently. On average, larger firms tend to engage much more extensively in the protection of IP, and this pattern cannot be easily explained by differences in the type of R&D or innovation produced by a firm. We also discuss the implications of these findings for innovation research and policy.
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• Working Paper

  
  
  Globalization and Price Dispersion: Evidence from U.S. Trade Flows
  

  March 2010

  Authors: John Tang

  Working Paper Number:

  CES-10-07

  Historically, the integration of international markets has corresponded with decreasing prices for traded goods due to higher competition among suppliers, scale economies, and consumption demand. In recent years, product differentiation and multinational firm pricing behavior across markets and between suppliers make it difficult to assess the degree to which this still occurs. Using a confidential panel dataset comprising the universe of U.S. import trade transactions between 1992 and 2007, this paper explores the change in prices for imported commodities across American trade partners. Overall price dispersion appears to decline, albeit unevenly, over time; nevertheless, there is considerable heterogeneity within commodity groups, geographic regions, and income levels, which may owe to increased product and quality differentiation within commodity categories. Unusually, after controlling for gravity trade factors, trade openness and extensive measures of globalization are positively associated with price dispersion, which suggests a more disaggregated approach both at the commodity and firm level to account for these differences.
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• Working Paper

  
  
  THE INFLUENCES OF FOREIGN DIRECT INVESTMENTS, INTRAFIRM TRADING, AND CURRENCY UNDERVALUATION ON U.S. FIRM TRADE DISPUTES
  

  January 2014

  Authors: J. Bradford Jensen, Dennis P. Quinn, Stephen Weymouth

  Working Paper Number:

  CES-14-04

  We use the case of a puzzling decline in U.S. firm antidumping (AD) filings to explore how firm-level economic heterogeneity within U.S. industries influences political and regulatory responses to changes in the global economy. Firms exhibit heterogeneity both within and across industries regarding foreign direct investment. We propose that firms making vertical, or resource-seeking, investments abroad will be less likely to file AD petitions. Hence, we argue, the increasing vertical FDI of U.S. firms (particularly in countries with undervalued currencies) makes trade disputes far less likely. We use firm level data to examine the universe of U.S. manufacturing firms and find that AD filers generally conduct no intrafirm trade with filed-against countries. Among U.S. MNCs, the number of AD filings is negatively associated with increases in the level of intrafirm trade for large firms. In the context of currency undervaluation, we confirm the existing finding that undervaluation is associated with more AD filings. We also find, however, that high levels of related-party imports from countries with undervalued currencies significantly decrease the numbers of AD filings. Our study highlights the centrality of global production networks in understanding political mobilization over international economic policy. [192]
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