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Business dynamics of innovating firms: Linking U.S. patents with administrative data on workers and firms

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  • Stuart J.H. Graham
  • Cheryl Grim
  • Tariqul Islam
  • Alan C. Marco
  • Javier Miranda

Abstract

This paper discusses the construction of a new longitudinal database tracking inventors and patent‐owning firms over time. We match granted patents between 2000 and 2011 to administrative databases of firms and workers housed at the U.S. Census Bureau. We use inventor information in addition to the patent assignee firm name to improve on previous efforts linking patents to firms. The triangulated database allows us to maximize match rates and provide validation for a large fraction of matches. In this paper, we describe the construction of the database and explore basic features of the data. We find patenting firms, particularly young patenting firms, disproportionally contribute jobs to the U.S. economy. We find that patenting is a relatively rare event among small firms but that most patenting firms are nevertheless small, and that patenting is not as rare an event for the youngest firms compared to the oldest firms. Although manufacturing firms are more likely to patent than firms in other sectors, we find that most patenting firms are in the services and wholesale sectors. These new data are a product of collaboration within the U.S. Department of Commerce, between the U.S. Census Bureau and the U.S. Patent and Trademark Office.

Suggested Citation

  • Stuart J.H. Graham & Cheryl Grim & Tariqul Islam & Alan C. Marco & Javier Miranda, 2018. "Business dynamics of innovating firms: Linking U.S. patents with administrative data on workers and firms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 372-402, September.
  • Handle: RePEc:bla:jemstr:v:27:y:2018:i:3:p:372-402
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    File URL: https://doi.org/10.1111/jems.12260
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    References listed on IDEAS

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    1. Natarajan Balasubramanian & Jagadeesh Sivadasan, 2010. "NBER Patent Data-BR Bridge: User Guide and Technical Documentation," Working Papers 10-36, Center for Economic Studies, U.S. Census Bureau.
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    3. Daron Acemoglu & Ufuk Akcigit & Harun Alp & Nicholas Bloom & William Kerr, 2018. "Innovation, Reallocation, and Growth," American Economic Review, American Economic Association, vol. 108(11), pages 3450-3491, November.
    4. Natarajan Balasubramanian & Jagadeesh Sivadasan, 2011. "What Happens When Firms Patent? New Evidence from U.S. Economic Census Data," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 126-146, February.
    5. Lars Vilhuber & Kevin McKinney, 2014. "LEHD Infrastructure files in the Census RDC - Overview," Working Papers 14-26, Center for Economic Studies, U.S. Census Bureau.
    6. Randy A. Becker & John Haltiwanger & Ron S. Jarmin & Shawn D. Klimek & Daniel J. Wilson, 2006. "Micro and Macro Data Integration: The Case of Capital," NBER Chapters,in: A New Architecture for the U.S. National Accounts, pages 541-610 National Bureau of Economic Research, Inc.
    7. Acs, Zoltan J & Audretsch, David B, 1988. "Innovation in Large and Small Firms: An Empirical Analysis," American Economic Review, American Economic Association, vol. 78(4), pages 678-690, September.
    8. Grid Thoma & Salvatore Torrisi & Alfonso Gambardella & Dominique Guellec & Bronwyn H. Hall & Dietmar Harhoff, 2010. "Harmonizing and Combining Large Datasets - An Application to Firm-Level Patent and Accounting Data," NBER Working Papers 15851, National Bureau of Economic Research, Inc.
    9. Stuart J.H. Graham & Galen Hancock & Alan C. Marco & Amanda Fila Myers, 2013. "The USPTO Trademark Case Files Dataset: Descriptions, Lessons, and Insights," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(4), pages 669-705, December.
    10. Christian Helmers & Mark Rogers, 2011. "Intellectual Property at the Firm-Level in the UK: The Oxford Firm-Level Intellectual Property Database," Economics Series Working Papers 546, University of Oxford, Department of Economics.
    11. Dan Andrews & Chiara Criscuolo & Carlo Menon, 2014. "Do Resources Flow to Patenting Firms?: Cross-Country Evidence from Firm Level Data," OECD Economics Department Working Papers 1127, OECD Publishing.
    12. Decker, Ryan A. & Haltiwanger, John & Jarmin, Ron S. & Miranda, Javier, 2016. "Where has all the skewness gone? The decline in high-growth (young) firms in the U.S," European Economic Review, Elsevier, vol. 86(C), pages 4-23.
    13. Ron S Jarmin & Javier Miranda, 2002. "The Longitudinal Business Database," Working Papers 02-17, Center for Economic Studies, U.S. Census Bureau.
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    Cited by:

    1. repec:kap:atlecj:v:47:y:2019:i:2:d:10.1007_s11293-019-09617-6 is not listed on IDEAS
    2. Tom Schmitz, 2016. "Endogenous Growth, Firm Heterogeneity and the Long-run Impact of Financial Crises," 2016 Meeting Papers 609, Society for Economic Dynamics.
    3. Marco Grazzi & Chiara Piccardo & Cecilia Vergari, 2019. "Concordance and Complementarity in IP Instruments," LEM Papers Series 2019/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Lucia Foster & Cheryl Grim & John Haltiwanger & Zoltan Wolf, 2018. "Innovation, Productivity Dispersion, and Productivity Growth," NBER Chapters,in: Measuring and Accounting for Innovation in the 21st Century National Bureau of Economic Research, Inc.
    5. Emin Dinlersoz & Nathan Goldschlag & Amanda Myers & Nikolas Zolas, 2018. "An Anatomy of U.S. Firms Seeking Trademark Registration," NBER Chapters,in: Measuring and Accounting for Innovation in the 21st Century National Bureau of Economic Research, Inc.
    6. Nathan Goldschlag & Elisabeth Perlman, 2017. "Business Dynamic Statistics of Innovative Firms," Working Papers 17-72, Center for Economic Studies, U.S. Census Bureau.
    7. M. Grazzi & C. Piccardo & C. Vergari, 2019. "Concordance and complementarity in Intellectual Property instruments," Working Papers wp1127, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. repec:nbr:nberch:13892 is not listed on IDEAS

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