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Papers Containing Keywords(s): 'inventory'

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Longitudinal Business Database - 24

North American Industry Classification System - 18

Patent and Trademark Office - 16

Center for Economic Studies - 16

National Science Foundation - 14

Standard Industrial Classification - 14

Economic Census - 13

Total Factor Productivity - 12

Business Register - 12

Bureau of Economic Analysis - 12

Bureau of Labor Statistics - 12

Census Bureau Disclosure Review Board - 11

Federal Statistical Research Data Center - 11

Annual Survey of Manufactures - 11

Longitudinal Research Database - 10

Census of Manufactures - 9

Ordinary Least Squares - 8

Disclosure Review Board - 8

Standard Statistical Establishment List - 8

Service Annual Survey - 8

Longitudinal Employer Household Dynamics - 7

Business Dynamics Statistics - 7

Employer Identification Numbers - 7

Internal Revenue Service - 7

National Bureau of Economic Research - 6

Chicago Census Research Data Center - 6

Wal-Mart - 6

Census of Retail Trade - 6

Electronic Data Interchange - 6

Business Research and Development and Innovation Survey - 5

Research Data Center - 5

Survey of Industrial Research and Development - 5

IBM - 5

Department of Commerce - 5

Metropolitan Statistical Area - 4

Annual Survey of Entrepreneurs - 4

Census of Manufacturing Firms - 4

Permanent Plant Number - 4

Cobb-Douglas - 4

Census Bureau Business Register - 3

Department of Homeland Security - 3

Longitudinal Firm Trade Transactions Database - 3

Current Population Survey - 3

World Bank - 3

Social Security - 3

American Community Survey - 3

Cornell Institute for Social and Economic Research - 3

George Mason University - 3

Company Organization Survey - 3

Social Security Number - 3

Protected Identification Key - 3

Census Bureau Longitudinal Business Database - 3

Federal Reserve Bank - 3

University of Chicago - 3

Viewing papers 1 through 10 of 47


  • Working Paper

    Property Rights, Firm Size and Investments in Innovation: Evidence from the America Invents Act

    May 2025

    Authors: James Driver

    Working Paper Number:

    CES-25-31

    I analyze whether a change in patent systems differentially affects firm-level innovation investments at patent-valuing firms of different sizes. Using legally required, economically representative, U.S. Census Bureau microdata, I separate firms into groups based on a firm's response to a question asking it to rank the degree of patent importance to its business and firm-size. I then measure how firms' innovation inputs/outputs respond to the America Invents Act (AIA). Results show the AIA reduced innovation investments at smaller, patent-valuing firms while increasing innovation investments at larger, patent-valuing firms, highlighting differential firm-size effects of patent policy and policy's importance to investments.
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  • Working Paper

    Growth is Getting Harder to Find, Not Ideas

    April 2025

    Working Paper Number:

    CES-25-21

    Relatively flat US output growth versus rising numbers of US researchers is often interpreted as evidence that "ideas are getting harder to find." We build a new 46-year panel tracking the universe of U.S. firms' patenting to investigate the micro underpinnings of this claim, separately examining the relationships between research inputs and ideas (patents) versus ideas and growth. Over our sample period, we find that researchers' patenting productivity is increasing, there is little evidence of any secular decline in high-quality patenting common to all firms, and the link between patents and growth is present, differs by type of idea, and is fairly stable. On the other hand, we find strong evidence of secular decreases in output unrelated to patenting, suggesting an important role for other factors. Together, these results invite renewed empirical and theoretical attention to the impact of ideas on growth. To that end, our patent-firm bridge, which will be available to researchers with approved access, is used to produce new, public-use statistics on the Business Dynamics of Patenting Firms (BDS-PF).
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  • Working Paper

    The Geography of Inventors and Local Knowledge Spillovers in R&D

    October 2024

    Authors: Brian C. Fujiy

    Working Paper Number:

    CES-24-59

    I causally estimate local knowledge spillovers in R&D and quantify their importance when implementing R&D policies. Using a new administrative panel on German inventors, I estimate these spillovers by isolating quasi-exogenous variation from the arrival of East German inventors across West Germany after the Reunification of Germany in 1990. Increasing the number of inventors by 1% increases inventor productivity by 0.4%. I build a spatial model of innovation, and show that these spillovers are crucial when reducing migration costs for inventors or implementing R&D subsidies to promote economic activity.
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  • Working Paper

    Supply Chain Adjustments to Tariff Shocks: Evidence from Firm Trade Linkages in the 2018-2019 U.S. Trade War

    August 2024

    Working Paper Number:

    CES-24-43

    We use the 2018-2019 U.S. trade war to examine how supply chains adjustments to a tariff cost shock affect imports and exports. Using confidential firm-trade linked data, we show that the decline in imports of tariffed goods was driven by discontinuations of U.S. buyer'foreign supplier relationships, reduced formation of new relationships, and exits by U.S. firms from import markets altogether. However, tariffed products where imports were concentrated in fewer suppliers had a smaller decline in import growth. We then construct measures of export exposure to import tariffs by linking tariffs paid by importing firms to their exported products. We find that the most exposed products had lower exports in 2018-2019, with most of the impact occurring in 2019.
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  • Working Paper

    Are Immigrants More Innovative? Evidence from Entrepreneurs

    November 2023

    Working Paper Number:

    CES-23-56

    We evaluate the contributions of immigrant entrepreneurs to innovation in the U.S. using linked survey-administrative data on 199,000 firms with a rich set of innovation measures and other firm and owner characteristics. We find that not only are immigrants more likely than natives to own businesses, but on average their firms display more innovation activities and outcomes. Immigrant owned firms are particularly more likely to create completely new products, improve previous products, use new processes, and engage in both basic and applied R&D, and their efforts are reflected in substantially higher levels of patents and productivity. Immigrant owners are slightly less likely than natives to imitate products of others and to hire more employees. Delving into potential explanations of the immigrant-native differences, we study other characteristics of entrepreneurs, access to finance, choice of industry, immigrant self-selection, and effects of diversity. We find that the immigrant innovation advantage is robust to controlling for detailed characteristics of firms and owners, it holds in both high-tech and non-high-tech industries and, with the exception of productivity, it tends to be even stronger in firms owned by diverse immigrant-native teams and by diverse immigrants from different countries. The evidence from nearly all measures that immigrants tend to operate more innovative and productive firms, together with the higher share of business ownership by immigrants, implies large contributions to U.S. innovation and growth.
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  • Working Paper

    Patents, Innovation, and Market Entry

    September 2023

    Authors: Dominik Jurek

    Working Paper Number:

    CES-23-45

    Do patents facilitate market entry and job creation? Using a 2014 Supreme Court decision that limited patent eligibility and natural language processing methods to identify invalid patents, I find that large treated firms reduce job creation and create fewer new establishments in response, with no effect on new firm entry. Moreover, companies shift toward innovation aimed at improving existing products consistent with the view that patents incentivize creative destruction.
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  • Working Paper

    Where Have All the "Creative Talents" Gone? Employment Dynamics of US Inventors

    April 2023

    Working Paper Number:

    CES-23-17

    How are inventors allocated in the US economy and does that allocation affect innovative capacity? To answer these questions, we first build a model where an inventor with a new idea has the possibility to work for an entrant or incumbent firm. Strategic considerations encourage the incumbent to hire the inventor, offering higher wages, and then not implement her idea. We then combine data on 760 thousand U.S. inventors with the LEHD data. We find that when an inventor is hired by an incumbent, their earnings increases by 12.6 percent and their innovative output declines by 6 to 11 percent.
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  • Working Paper

    Measuring the Characteristics and Employment Dynamics of U.S. Inventors

    September 2022

    Working Paper Number:

    CES-22-43

    Innovation is a key driver of long run economic growth. Studying innovation requires a clear view of the characteristics and behavior of the individuals that create new ideas. A general lack of rich, large-scale data has constrained such analyses. We address this by introducing a new dataset linking patent inventors to survey, census, and administrative microdata at the U.S. Census Bureau. We use this data to provide a first look at the demographic characteristics, employer characteristics, earnings, and employment dynamics of inventors. These linkages, which will be available to researchers with approved access, dramatically increases the scope of what can be learned about inventors and innovative activity.
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  • Working Paper

    Improving Patent Assignee-Firm Bridge with Web Search Results

    August 2022

    Working Paper Number:

    CES-22-31

    This paper constructs a patent assignee-firm longitudinal bridge between U.S. patent assignees and firms using firm-level administrative data from the U.S. Census Bureau. We match granted patents applied between 1976 and 2016 to the U.S. firms recorded in the Longitudinal Business Database (LBD) in the Census Bureau. Building on existing algorithms in the literature, we first use the assignee name, address (state and city), and year information to link the two datasets. We then introduce a novel search-aided algorithm that significantly improves the matching results by 7% and 2.9% at the patent and the assignee level, respectively. Overall, we are able to match 88.2% and 80.1% of all U.S. patents and assignees respectively. We contribute to the existing literature by 1) improving the match rates and quality with the web search-aided algorithm, and 2) providing the longest and longitudinally consistent crosswalk between patent assignees and LBD firms.
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  • Working Paper

    Innovation and Appropriability: Revisiting the Role of Intellectual Property

    March 2022

    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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