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Patent-Based News Shocks

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Abstract

We exploit firm-level data on patent grants and subsequent reactions of stocks to identify technological news shocks. Changes in stock market valuations due to announcements of individual patent grants represent expected future increases in the technology level, which we refer to as patent-based news shocks. Our patentbased news shocks resemble diffusion news, in that they do not affect total factor productivity in the short run but induce a strong permanent effect after five years. These shocks produce positive comovement between consumption, output, investment, and hours. Unlike the existing empirical evidence, patent-based news shocks generate a positive response in inflation and the federal funds rate, in line with a standard New Keynesian model. Patenting activity in electronic and electrical equipment industries, within the manufacturing sector, and computer programming and data processing services, within the services sector, play crucial roles in driving our results.

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  • Danilo Cascaldi-Garcia & Marija Vukotić, 2020. "Patent-Based News Shocks," International Finance Discussion Papers 1277, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgif:1277
    DOI: 10.17016/IFDP.2020.1277
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    1. Neville Francis & Michael T. Owyang & Jennifer E. Roush & Riccardo DiCecio, 2014. "A Flexible Finite-Horizon Alternative to Long-Run Restrictions with an Application to Technology Shocks," The Review of Economics and Statistics, MIT Press, vol. 96(4), pages 638-647, October.
    2. 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.
    3. Franck Portier, 2014. "Comment on "Whither News Shocks?"," NBER Chapters, in: NBER Macroeconomics Annual 2014, Volume 29, pages 265-278, National Bureau of Economic Research, Inc.
    4. John Shea, 1999. "What Do Technology Shocks Do?," NBER Chapters, in: NBER Macroeconomics Annual 1998, volume 13, pages 275-322, National Bureau of Economic Research, Inc.
    5. J. Baron & Julia Schmidt, 2014. "Technological Standardization, Endogenous Productivity and Transitory Dynamics," Working papers 503, Banque de France.
    6. Marta Bańbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92, January.
    7. Robert B. Barsky & Susanto Basu & Keyoung Lee, 2015. "Whither News Shocks?," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 225-264.
    8. Di Casola, Paola & Sichlimiris, Spyridon, 2018. "Towards Technology-News-Driven Business Cycles," Working Paper Series 360, Sveriges Riksbank (Central Bank of Sweden).
    9. Miranda-Agrippino, Silvia & Hacıoglu Hoke, Sinem, 2018. "When creativity strikes: news shocks and business cycle fluctuations," LSE Research Online Documents on Economics 90381, London School of Economics and Political Science, LSE Library.
    10. 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.
    11. 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.
    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. 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.
    14. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    15. Valerie A. Ramey, 2011. "Identifying Government Spending Shocks: It's all in the Timing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 1-50.
    16. Sims, Eric, 2016. "What׳s news in News? A cautionary note on using a variance decomposition to assess the quantitative importance of news shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 41-60.
    17. Rabah Arezki & Valerie A. Ramey & Liugang Sheng, 2017. "News Shocks in Open Economies: Evidence from Giant Oil Discoveries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 103-155.
    18. Andr? Kurmann & Elmar Mertens, 2014. "Stock Prices, News, and Economic Fluctuations: Comment," American Economic Review, American Economic Association, vol. 104(4), pages 1439-1445, April.
    19. André Kurmann & Eric Sims, 2021. "Revisions in Utilization-Adjusted TFP and Robust Identification of News Shocks," The Review of Economics and Statistics, MIT Press, vol. 103(2), pages 216-235, May.
    20. Andrea Carriero & Haroon Mumtaz & Konstantinos Theodoridis & Angeliki Theophilopoulou, 2015. "The Impact of Uncertainty Shocks under Measurement Error: A Proxy SVAR Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(6), pages 1223-1238, September.
    21. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    22. Andrei A Levchenko & Nitya Pandalai-Nayar, 2020. "Tfp, News, and “Sentiments”: the International Transmission of Business Cycles," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 302-341.
    23. 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.
    24. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    25. Michele Piffer & Maximilian Podstawski, 2018. "Identifying Uncertainty Shocks Using the Price of Gold," Economic Journal, Royal Economic Society, vol. 128(616), pages 3266-3284, December.
    26. Hafedh Bouakez & Laurent Kemoe, 2023. "News Shocks, Business Cycles, and the Disinflation Puzzle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2115-2151, December.
    27. Alexopoulos, Michelle & Cohen, Jon, 2009. "Measuring our ignorance, one book at a time: New indicators of technological change, 1909-1949," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 450-470, May.
    28. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    29. Jinnai, Ryo, 2013. "News shocks and inflation," Economics Letters, Elsevier, vol. 119(2), pages 176-179.
    30. Andrew Atkeson & Ariel Burstein, 2019. "Aggregate Implications of Innovation Policy," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2625-2683.
    31. Christoph Görtz & John D. Tsoukalas & Francesco Zanetti, 2022. "News Shocks under Financial Frictions," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(4), pages 210-243, October.
    32. Barakchian, S. Mahdi & Crowe, Christopher, 2013. "Monetary policy matters: Evidence from new shocks data," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 950-966.
    33. Karel Mertens & Morten Overgaard Ravn, 2011. "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 27-54, January.
    34. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    35. Lutz Kilian & Yun Jung Kim, 2011. "How Reliable Are Local Projection Estimators of Impulse Responses?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1460-1466, November.
    36. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
    37. 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.
    38. Silvia Miranda-Agrippino & Giovanni Ricco, 2021. "The Transmission of Monetary Policy Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(3), pages 74-107, July.
    39. Emi Nakamura & J?n Steinsson, 2014. "Fiscal Stimulus in a Monetary Union: Evidence from US Regions," American Economic Review, American Economic Association, vol. 104(3), pages 753-792, March.
    40. Marija Vukotić, 2019. "Sectoral Effects of News Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(2), pages 215-249, April.
    41. Paul Beaudry & Franck Portier, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
    42. Bhaven N. Sampat, 2018. "A Survey of Empirical Evidence on Patents and Innovation," NBER Working Papers 25383, National Bureau of Economic Research, Inc.
    43. Dario Caldara & Edward Herbst, 2019. "Monetary Policy, Real Activity, and Credit Spreads: Evidence from Bayesian Proxy SVARs," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 157-192, January.
    44. Alan J. Auerbach & Yuriy Gorodnichenko, 2013. "Corrigendum: Measuring the Output Responses to Fiscal Policy," American Economic Journal: Economic Policy, American Economic Association, vol. 5(3), pages 320-322, August.
    45. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    46. Eric M. Leeper & Todd B. Walker & Shu‐Chun Susan Yang, 2013. "Fiscal Foresight and Information Flows," Econometrica, Econometric Society, vol. 81(3), pages 1115-1145, May.
    47. Lone Engbo Christiansen, 2008. "Do Technology Shocks Lead to Productivity Slowdowns? Evidence from Patent Data," IMF Working Papers 2008/024, International Monetary Fund.
    48. repec:fth:harver:1473 is not listed on IDEAS
    49. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    50. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    51. Mark Gertler & Peter Karadi, 2015. "Monetary Policy Surprises, Credit Costs, and Economic Activity," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 44-76, January.
    52. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
    53. Miranda-Agrippino, Silvia & Hacıoğlu Hoke, Sinem & Bluwstein, Kristina, 2020. "Patents, News, and Business Cycles," CEPR Discussion Papers 15062, C.E.P.R. Discussion Papers.
    54. Dario Caldara & Christophe Kamps, 2017. "The Analytics of SVARs: A Unified Framework to Measure Fiscal Multipliers," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(3), pages 1015-1040.
    55. John G. Fernald, 2012. "A quarterly, utilization-adjusted series on total factor productivity," Working Paper Series 2012-19, Federal Reserve Bank of San Francisco.
    56. Danilo Cascaldi-Garcia, 2017. "News Shocks and the Slope of the Term Structure of Interest Rates: Comment," American Economic Review, American Economic Association, vol. 107(10), pages 3243-3249, October.
    57. Jess Benhabib & Pengfei Wang & Yi Wen, 2015. "Sentiments and Aggregate Demand Fluctuations," Econometrica, Econometric Society, vol. 83, pages 549-585, March.
    58. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-2009 Recession," NBER Working Papers 18094, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Görtz, Christoph & Gunn, Christopher & Lubik, Thomas A., 2022. "Is there news in inventories?," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 87-104.
    2. Görtz, Christoph & Yeromonahos, Mallory, 2022. "Asymmetries in risk premia, macroeconomic uncertainty and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    3. Haddad, Valentin & Ho, Paul & Loualiche, Erik, 2022. "Bubbles and the value of innovation," Journal of Financial Economics, Elsevier, vol. 145(1), pages 69-84.
    4. Miranda-Agrippino, Silvia & Hacıoğlu Hoke, Sinem & Bluwstein, Kristina, 2020. "Patents, News, and Business Cycles," CEPR Discussion Papers 15062, C.E.P.R. Discussion Papers.
    5. Cascaldi-Garcia, Danilo, 2025. "Forecast revisions as instruments for news shocks," Journal of Monetary Economics, Elsevier, vol. 151(C).
    6. Andrea Recine & Massimiliano Tancioni, 2025. "Macroeconomic Effects of Government Defense and Non-Defense R&D," Working Papers in Public Economics 262, Department of Economics and Law, Sapienza University of Rome.
    7. Klein, Mathias & Linnemann, Ludger, 2021. "Real exchange rate and international spillover effects of US technology shocks," Journal of International Economics, Elsevier, vol. 129(C).
    8. Oscar Jaulin & Andrey Ramos, 2025. "Becoming Green: Decomposing the Macroeconomic Effects of Green Technology News Shocks," Papers 2507.18386, arXiv.org.
    9. Mishel Ghassibe & Boromeus Wanengkirtyo & Ivan Yotzov, 2025. "Intertemporal Pass-Through," Working Papers 1524, Barcelona School of Economics.
    10. Rünstler, Gerhard, 2024. "The macroeconomic impact of euro area labor market reforms: evidence from a narrative panel VAR," European Economic Review, Elsevier, vol. 168(C).
    11. Nils M. Gornemann & Pablo Guerrón-Quintana & Felipe Saffie, 2020. "Exchange Rates and Endogenous Productivity," International Finance Discussion Papers 1301, Board of Governors of the Federal Reserve System (U.S.).
    12. Damiano Di Francesco & Omar Pietro Carnevale, 2025. "Are Hysteresis Effects Nonlinear?," LEM Papers Series 2025/32, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Antonova, Anastasiia & Matvieiev, Mykhailo, 2025. "News and firm entry: The role of the waiting option," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
    14. Anastasios Evgenidis & Apostolos Fasianos, 2025. "AI news shocks and the macroeconomy: evidence from UK patent data," IFS Working Papers W25/48, Institute for Fiscal Studies.

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    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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