[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/cge/wacage/329.html
   My bibliography  Save this paper

Trend TFP Growth in the United States: Forecasts versus Outcomes

Author

Listed:
  • Crafts, Nicholas

    (University of Warwick)

  • Mills, Terence C.

    (Loughborough University)

Abstract
We analyze TFP growth in the U.S. business sector using a basic unobserved component model where trend growth follows a random walk and the noise is a first order autoregression. This is fitted using a Kalman-filter methodology. We find that trend TFP growth has declined steadily from 1.5 to 1.0 per cent per year over the last 50 years. Nevertheless, recent trends are not a good guide to actual medium-term TFP growth. This exhibits substantial variations and is quite unpredictable. Technooptimists should not give best to secular stagnationists simply because recent TFP growth has been weak.

Suggested Citation

  • Crafts, Nicholas & Mills, Terence C., 2017. "Trend TFP Growth in the United States: Forecasts versus Outcomes," CAGE Online Working Paper Series 329, Competitive Advantage in the Global Economy (CAGE).
  • Handle: RePEc:cge:wacage:329
    as

    Download full text from publisher

    File URL: https://www2.warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/329-2017_crafts.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Elisa Gamberoni & Claire Giordano & Paloma Lopez-Garcia, 2016. "Capital and labour (mis)allocation in the euro area: Some stylized facts and determinants," Questioni di Economia e Finanza (Occasional Papers) 349, Bank of Italy, Economic Research and International Relations Area.
    2. John G. Fernald, 2015. "Productivity and Potential Output before, during, and after the Great Recession," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 1-51.
    3. Blanchard, Olivier & Lorenzoni, Guido & L’Huillier, Jean-Paul, 2017. "Short-run effects of lower productivity growth. A twist on the secular stagnation hypothesis," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 639-649.
    4. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    5. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
    6. Müge Adalet McGowan & Dan Andrews & Valentine Millot & Thorsten BeckManaging Editor, 2018. "The walking dead? Zombie firms and productivity performance in OECD countries," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 33(96), pages 685-736.
    7. Karel Havik & Kieran Mc Morrow & Fabrice Orlandi & Christophe Planas & Rafal Raciborski & Werner Roeger & Alessandro Rossi & Anna Thum-Thysen & Valerie Vandermeulen, 2014. "The Production Function Methodology for Calculating Potential Growth Rates & Output Gaps," European Economy - Economic Papers 2008 - 2015 535, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    8. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    9. Furceri, Davide & Mourougane, Annabelle, 2012. "The effect of financial crises on potential output: New empirical evidence from OECD countries," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 822-832.
    10. 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.
    11. Pesaran, M. Hashem & Pick, Andreas & Pranovich, Mikhail, 2013. "Optimal forecasts in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 134-152.
    12. Lipsey, Richard G. & Carlaw, Kenneth I. & Bekar, Clifford T., 2005. "Economic Transformations: General Purpose Technologies and Long-Term Economic Growth," OUP Catalogue, Oxford University Press, number 9780199290895.
    13. Patrice Ollivaud & Yvan Guillemette & David Turner, 2016. "Links between weak investment and the slowdown in productivity and potential output growth across the OECD," OECD Economics Department Working Papers 1304, OECD Publishing.
    14. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    15. Lawrence H Summers, 2014. "U.S. Economic Prospects: Secular Stagnation, Hysteresis, and the Zero Lower Bound," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 49(2), pages 65-73, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicolas Carnot & Stéphanie Pamies Sumner, 2017. "GDP-linked Bonds: Some Simulations on EU Countries," European Economy - Discussion Papers 073, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Eric J. Bartelsman, 2019. "From New Technology to Productivity," European Economy - Discussion Papers 113, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Nicholas Crafts, 2017. "Is Slow Economic Growth the ‘New Normal’ for Europe?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(3), pages 283-297, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicholas Crafts, 2017. "Is Slow Economic Growth the ‘New Normal’ for Europe?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(3), pages 283-297, September.
    2. Biolsi, Christopher, 2021. "Labor productivity forecasts based on a Beveridge–Nelson filter: Is there statistical evidence for a slowdown?," Journal of Macroeconomics, Elsevier, vol. 69(C).
    3. Alexander Yu. Apokin & Irina B. Ipatova, 2016. "Structural Breaks in Potential GDP Of Three Major Economies: Just Impaired Credit or the “New Normal”?," HSE Working papers WP BRP 142/EC/2016, National Research University Higher School of Economics.
    4. Michael Fritsch & Alina Sorgner & Michael Wyrwich & Evguenii Zazdravnykh, 2016. "Historical shocks and persistence of economic activity: evidence from a unique natural experiment," HSE Working papers WP BRP 143/EC/2016, National Research University Higher School of Economics.
    5. Mengheng Li & Ivan Mendieta‐Muñoz, 2020. "Are long‐run output growth rates falling?," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 204-234, February.
    6. Hännikäinen Jari, 2017. "Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    7. David Byrne & Stephen D. Oliner & Daniel E. Sichel, 2017. "Prices of high-tech products, mismeasurement, and the pace of innovation," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 52(2), pages 103-113, April.
    8. Yunjong Eo & James Morley, 2022. "Why Has the U.S. Economy Stagnated since the Great Recession?," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 246-258, May.
    9. Mardi Dungey & Jan P.A.M. Jacobs & Jing Tian, 2017. "Forecasting output gaps in the G-7 countries: the role of correlated innovations and structural breaks," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4554-4566, September.
    10. Dan Andrews & Filippos Petroulakis, 2017. "Breaking the Shackles: Zombie Firms, Weak Banks and Depressed Restructuring in Europe," OECD Economics Department Working Papers 1433, OECD Publishing.
    11. Tae‐Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Forecasting Under Structural Breaks Using Improved Weighted Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1485-1501, December.
    12. Davide De Gaetano, 2018. "Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets," Mathematics, MDPI, vol. 6(3), pages 1-19, March.
    13. Taner Akan & Aycan Hepsağ & Şeref Bozoklu, 2022. "Explaining U.S. economic growth performance by macroeconomic governance, 1952–2018," Journal of Evolutionary Economics, Springer, vol. 32(5), pages 1437-1465, November.
    14. Álvarez, Luis J. & Gómez-Loscos, Ana, 2018. "A menu on output gap estimation methods," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 827-850.
    15. Tae‐Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Optimal forecast under structural breaks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 965-987, August.
    16. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
    17. van Riet Ad, 2019. "Twenty Years of European Central Bank Monetary Policy: A Keynesian and Austrian Perspective," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(5-6), pages 797-840, October.
    18. Fernald, John G. & Hsu, Eric & Spiegel, Mark M., 2021. "Reprint: Is China fudging its GDP figures? Evidence from trading partner data," Journal of International Money and Finance, Elsevier, vol. 114(C).
    19. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2024. "Improving models and forecasts after equilibrium-mean shifts," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1085-1100.
    20. David Kiefer & Ivan Mendieta-Muñoz & Codrina Rada & Rudiger von Arnim, 2020. "Secular Stagnation and Income Distribution Dynamics," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(2), pages 189-207, June.

    More about this item

    Keywords

    productivity slowdown; secular stagnation; TFP growthJEL Classification: E32; N12; O47;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • N12 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - U.S.; Canada: 1913-
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cge:wacage:329. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jane Snape (email available below). General contact details of provider: https://edirc.repec.org/data/dewaruk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.