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When Creativity Strikes: News Shocks and Business Cycle Fluctuations

Author

Listed:
  • Silvia Miranda-Agrippino

    (Centre for Macroeconomics (CFM)
    Bank of England)

  • Sinem Hacioglu Hoke

    (Bank of England
    Data Analytics for Finance and Macro (KCL))

  • Kristina Bluwstein

    (Bank of England)

Abstract

We use monthly US utility patent applications to construct an external instrument for identification of technology news shocks in a rich-information VAR. Technology diffuses slowly, and affects total factor productivity in an S-shaped pattern. Responsible for about a tenth of economic fluctuations at business cycle frequencies, the shock elicits a slow, but large and positive response of quantities, and a sluggish contraction in prices, followed by an endogenous easing in the monetary stance. The ensuing economic expansion substantially anticipates any material increase in TFP. Technology news are strongly priced-in in the stock market on impact, but measures of consumers’ expectations take sensibly longer to adjust, consistent with a New-Keynesian framework with nominal rigidities, and featuring informationally constrained agents.

Suggested Citation

  • Silvia Miranda-Agrippino & Sinem Hacioglu Hoke & Kristina Bluwstein, 2018. "When Creativity Strikes: News Shocks and Business Cycle Fluctuations," Discussion Papers 1823, Centre for Macroeconomics (CFM).
  • Handle: RePEc:cfm:wpaper:1823
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    1. 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.
    2. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007. "ABCs (and Ds) of Understanding VARs," American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
    3. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2011. "Investment Shocks and the Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 101-121, January.
    4. 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.
    5. Olivier J. Blanchard & Jean-Paul L'Huillier & Guido Lorenzoni, 2013. "News, Noise, and Fluctuations: An Empirical Exploration," American Economic Review, American Economic Association, vol. 103(7), pages 3045-3070, December.
    6. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    7. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, Oxford University Press, vol. 117(4), pages 1295-1328.
    8. Bartosz Mackowiak & Mirko Wiederholt, 2019. "Optimal Sticky Prices Under Rational Inattention," Credit and Capital Markets, Credit and Capital Markets, vol. 52(4), pages 573-617.
    9. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
    10. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, February.
    11. Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
    12. Francesco Zanetti & Christoph Görtz & John D. Tsoukalas, 2016. "News Shocks under Financial Frictions," Economics Series Working Papers 813, University of Oxford, Department of Economics.
    13. repec:fth:harver:1473 is not listed on IDEAS
    14. Andr? Kurmann & Christopher Otrok, 2013. "News Shocks and the Slope of the Term Structure of Interest Rates," American Economic Review, American Economic Association, vol. 103(6), pages 2612-2632, October.
    15. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-09 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 81-156.
    16. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2011. "Firm-Specific Capital, Nominal Rigidities and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 225-247, April.
    17. Encaoua, David & Guellec, Dominique & Martinez, Catalina, 2006. "Patent systems for encouraging innovation: Lessons from economic analysis," Research Policy, Elsevier, vol. 35(9), pages 1423-1440, November.
    18. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 132(2), pages 665-712.
    19. Forni, Mario & Gambetti, Luca, 2011. "Testing for Sufficient Information in Structural VARs," CEPR Discussion Papers 8209, C.E.P.R. Discussion Papers.
    20. Lawrence J. Christiano & Cosmin Ilut & Roberto Motto & Massimo Rostagno, 2010. "Monetary policy and stock market booms," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 85-145.
    21. Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2016. "The term structure of expectations and bond yields," Staff Reports 775, Federal Reserve Bank of New York.
    22. Diego Comin & Mark Gertler & Ana Maria Santacreu, 2009. "Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations," Harvard Business School Working Papers 09-134, Harvard Business School.
    23. Christopher J. Erceg & Dale W. Henderson & Andrew T. Levin, 2019. "Optimal Monetary Policy with Staggered Wage and Price Contracts," Credit and Capital Markets, Credit and Capital Markets, vol. 52(4), pages 537-571.
    24. Karel Mertens & Morten O. Ravn, 2011. "Technology-Hours Redux: Tax Changes and the Measurement of Technology Shocks," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 41-76.
    25. Paul Beaudry & Bernd Lucke, 2010. "Letting Different Views about Business Cycles Compete," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 413-455, National Bureau of Economic Research, Inc.
    26. Monika Piazzesi & Martin Schneider, 2007. "Equilibrium Yield Curves," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 389-472, National Bureau of Economic Research, Inc.
    27. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    28. Ryan Chahrour & Kyle Jurado, 2018. "News or Noise? The Missing Link," American Economic Review, American Economic Association, vol. 108(7), pages 1702-1736, July.
    29. Jinnai, Ryo, 2013. "News shocks and inflation," Economics Letters, Elsevier, vol. 119(2), pages 176-179.
    30. Luca Gambetti & Dimitris Korobilis & John D. Tsoukalas & Francesco Zanetti, 2017. "The Effect of News Shocks and Monetary Policy," BCAM Working Papers 1705, Birkbeck Centre for Applied Macroeconomics.
    31. Julio J. Rotemberg, 2003. "Stochastic Technical Progress, Smooth Trends, and Nearly Distinct Business Cycles," American Economic Review, American Economic Association, vol. 93(5), pages 1543-1559, December.
    32. 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.
    33. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    34. Domenico Giannone & Lucrezia Reichlin, 2006. "Does information help recovering structural shocks from past observations?," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 455-465, 04-05.
    35. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    36. Rabah Arezki & Valerie A. Ramey & Liugang Sheng, 2017. "News Shocks in Open Economies: Evidence from Giant Oil Discoveries," The Quarterly Journal of Economics, Oxford University Press, vol. 132(1), pages 103-155.
    37. Lippi, Marco & Reichlin, Lucrezia, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(3), pages 644-652, June.
    38. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    39. Robert J. Barro & Robert G. King, 1984. "Time-Separable Preferences and Intertemporal-Substitution Models of Business Cycles," The Quarterly Journal of Economics, Oxford University Press, vol. 99(4), pages 817-839.
    40. 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.
    41. Nadav Ben Zeev & Hashmat Khan, 2015. "Investment‐Specific News Shocks and U.S. Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(7), pages 1443-1464, October.
    42. Beaudry, Paul & Portier, Franck, 2004. "An exploration into Pigou's theory of cycles," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1183-1216, September.
    43. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "On the dynamic implications of news shocks," Economics Letters, Elsevier, vol. 102(2), pages 96-98, February.
    44. Harald Uhlig, 2004. "Do Technology Shocks Lead to a Fall in Total Hours Worked?," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 361-371, 04/05.
    45. Jermann, Urban J. & Quadrini, Vincenzo, 2007. "Stock market boom and the productivity gains of the 1990s," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 413-432, March.
    46. J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
    47. Paul Beaudry & Patrick Fève & Alain Guay & Franck Portier, 2015. "When is Nonfundamentalness in VARs a Real Problem? An Application to News Shocks," NBER Working Papers 21466, National Bureau of Economic Research, Inc.
    48. Wouter J. Den Haan & Matija Lozej, 2011. "Pigou Cycles in Closed and Open Economies with Matching Frictions," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 193-234.
    49. Fernald, John G., 2007. "Trend breaks, long-run restrictions, and contractionary technology improvements," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2467-2485, November.
    50. 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.
    51. Lach, Saul, 1995. "Patents and productivity growth at the industry level: A first look," Economics Letters, Elsevier, vol. 49(1), pages 101-108, July.
    52. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    53. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2011. "Firm-Specific Capital, Nominal Rigidities and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 225-247, April.
    54. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    55. Gort, Michael & Klepper, Steven, 1982. "Time Paths in the Diffusion of Product Innovations," Economic Journal, Royal Economic Society, vol. 92(367), pages 630-653, September.
    56. Ben Zeev, Nadav, 2018. "What can we learn about news shocks from the late 1990s and early 2000s boom-bust period?," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 94-105.
    57. Hashmat Khan & John Tsoukalas, 2012. "The Quantitative Importance of News Shocks in Estimated DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1535-1561, December.
    58. 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.
    59. Lorenzo Bretscher & Andrea Tamoni & Aytek Malkhozov, 2019. "News Shocks and Asset Prices," 2019 Meeting Papers 100, Society for Economic Dynamics.
    60. Campbell, John Y. & Sunderam, Adi & Viceira, Luis M., 2017. "Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds," Critical Finance Review, now publishers, vol. 6(2), pages 263-301, September.
    61. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
    62. Walentin, Karl, 2014. "Expectation driven business cycles with limited enforcement," Economics Letters, Elsevier, vol. 124(2), pages 300-303.
    63. Bronwyn H. Hall & Manuel Trajtenberg, 2004. "Uncovering GPTS with Patent Data," NBER Working Papers 10901, National Bureau of Economic Research, Inc.
    64. Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Identification with external instruments in structural VARs under partial invertibility," Sciences Po publications 24, Sciences Po.
    65. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
    66. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    67. 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.
    68. 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.
    69. J. Baron & J. Schmidt, 2014. "Technological Standardization, Endogenous Productivity and Transitory Dynamics," Working papers 503, Banque de France.
    70. 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.
    71. Den Haan, Wouter J. & Kaltenbrunner, Georg, 2009. "Anticipated growth and business cycles in matching models," Journal of Monetary Economics, Elsevier, vol. 56(3), pages 309-327, April.
    72. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
    73. Hafedh BOUAKEZ & Laurent KEMOE, 2017. "News Shocks, Business Cycles, and the Disinflation Puzzle," Cahiers de recherche 05-2017, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    74. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
    75. Lindé, Jesper, 2009. "The effects of permanent technology shocks on hours: Can the RBC-model fit the VAR evidence?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 597-613, March.
    76. Christoph Görtz & John D. Tsoukalas, 2017. "News and Financial Intermediation in Aggregate Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 514-530, July.
    77. Miranda-Agrippino, Silvia & Rey, Hélène, 2015. "World Asset Markets and the Global Financial Cycle," CEPR Discussion Papers 10936, C.E.P.R. Discussion Papers.
    78. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    79. 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.
    80. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-09 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 81-156.
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    Cited by:

    1. Daniela Fantozzi & Alessio Muscarnera, 2021. "A News-based Policy Index for Italy: Expectations and Fiscal Policy," CEIS Research Paper 509, Tor Vergata University, CEIS, revised 11 Mar 2021.
    2. Metiu, Norbert, 2021. "Anticipation effects of protectionist U.S. trade policies," Journal of International Economics, Elsevier, vol. 133(C).
    3. Dumas, Bernard J & Savioz, Marcel René, 2020. "A Theory of the Nominal Character of Stock Securities," CEPR Discussion Papers 15507, C.E.P.R. Discussion Papers.
    4. Danilo Cascaldi-Garcia & Marija Vukotic, 2022. "Patent-Based News Shocks," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 51-66, March.
    5. Oliver Holtemöller & Alexander Kriwoluzky & Boreum Kwak, 2020. "Exchange Rates and the Information Channel of Monetary Policy," Discussion Papers of DIW Berlin 1906, DIW Berlin, German Institute for Economic Research.
    6. Claudio, João C. & von Schweinitz, Gregor, 2020. "On the international dissemination of technology news shocks," IWH Discussion Papers 25/2020, Halle Institute for Economic Research (IWH).
    7. Hacioglu Hoke, Sinem, 2019. "Macroeconomic effects of political risk shocks," Bank of England working papers 841, Bank of England.
    8. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2019. "Identification with External Instruments in Structural VARs under Partial Invertibility," The Warwick Economics Research Paper Series (TWERPS) 1213, University of Warwick, Department of Economics.
    9. Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Identification with external instruments in structural VARs under partial invertibility," Sciences Po publications 24, Sciences Po.
    10. Klein, Mathias & Linnemann, Ludger, 2021. "Real exchange rate and international spillover effects of US technology shocks," Journal of International Economics, Elsevier, vol. 129(C).
    11. Pinchetti, Marco, 2020. "What Is Driving The TFP Slowdown? Insights From a Schumpeterian DSGE Model," MPRA Paper 98316, University Library of Munich, Germany.

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    More about this item

    Keywords

    Technology news schocks; Business cycle; Identification with external instruments; Patent applications;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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