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Measuring Technological Innovation over the Long Run

Author

Listed:
  • Bryan Kelly
  • Dimitris Papanikolaou
  • Amit Seru
  • Matt Taddy

Abstract

We use textual analysis of high-dimensional data from patent documents to create new indicators of technological innovation. We identify significant patents based on textual similarity of a given patent to previous and subsequent work: these patents are distinct from previous work but are related to subsequent innovations. Our measure of patent significance is predictive of future citations and correlates strongly with measures of market value. We identify breakthrough innovations as the most significant patents – those in the right tail of our measure – to construct indices of technological change at the aggregate, sectoral, and firm level. Our technology indices span two centuries (1840-2010) and cover innovation by private and public firms, as well as non-profit organizations and the US government. These indices capture the evolution of technological waves over a long time span and are strong predictors of productivity at the aggregate and sectoral level.

Suggested Citation

  • Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2018. "Measuring Technological Innovation over the Long Run," NBER Working Papers 25266, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25266
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    References listed on IDEAS

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    1. Robert J. Gordon, 2016. "The Rise and Fall of American Growth: The U.S. Standard of Living since the Civil War," Economics Books, Princeton University Press, edition 1, number 10544.
    2. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
    3. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    4. Kortum, Samuel & Lerner, Josh, 1998. "Stronger protection or technological revolution: what is behind the recent surge in patenting?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 48(1), pages 247-304, June.
    5. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    6. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders in the Theory of Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(1), pages 43-61.
    7. Petra Moser & Tom Nicholas, 2004. "Was Electricity a General Purpose Technology? Evidence from Historical Patent Citations," American Economic Review, American Economic Association, vol. 94(2), pages 388-394, May.
    8. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    9. Robert J. Gordon, 2016. "Perspectives on The Rise and Fall of American Growth," American Economic Review, American Economic Association, vol. 106(5), pages 72-76, May.
    10. repec:fth:harver:1473 is not listed on IDEAS
    11. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    12. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 665-712.
    13. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    14. Michelle Alexopoulos, 2011. "Read All about It!! What Happens Following a Technology Shock?," American Economic Review, American Economic Association, vol. 101(4), pages 1144-1179, June.
    15. Patrick Kline & Neviana Petkova & Heidi Williams & Owen Zidar, 2019. "Who Profits from Patents? Rent-Sharing at Innovative Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1343-1404.
    16. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    17. Tom Nicholas, 2008. "Does Innovation Cause Stock Market Runups? Evidence from the Great Crash," American Economic Review, American Economic Association, vol. 98(4), pages 1370-1396, September.
    18. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-386.
    19. Austin, David H, 1993. "An Event-Study Approach to Measuring Innovative Output: The Case of Biotechnology," American Economic Review, American Economic Association, vol. 83(2), pages 253-258, May.
    20. Nathan Goldschlag & Travis J. Lybbert & Nikolas J. Zolas, 2016. "An ‘Algorithmic Links with Probabilities’ Crosswalk for USPC and CPC Patent Classifications with an Application Towards Industrial Technology Composition," Working Papers 16-15, Center for Economic Studies, U.S. Census Bureau.
    21. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August.
    22. Alexander J. Field, 2003. "The Most Technologically Progressive Decade of the Century," American Economic Review, American Economic Association, vol. 93(4), pages 1399-1413, September.
    23. Benjamin Balsmeier & Mohamad Assaf & Tyler Chesebro & Gabe Fierro & Kevin Johnson & Scott Johnson & Guan‐Cheng Li & Sonja Lück & Doug O'Reagan & Bill Yeh & Guangzheng Zang & Lee Fleming, 2018. "Machine learning and natural language processing on the patent corpus: Data, tools, and new measures," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 535-553, September.
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    More about this item

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • N1 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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