IDEAS home Printed from https://ideas.repec.org/p/cbo/wpaper/53558.html
   My bibliography  Save this paper

Estimating and Projecting Potential Output Using CBO’s Forecasting Growth Model: Working Paper 2018-03

Author

Listed:
  • Robert Shackleton

Abstract

As part of its responsibility for producing baseline projections of the economy and the federal budget, CBO regularly produces estimates and projections of potential output, a measure of the economy’s fundamental ability to supply goods and services. The projection of potential output serves as a key input to CBO’s macroeconomic forecasts and budget projections, helping the agency maintain consistency between its projections of labor supply and capital accumulation and its projections of taxes on income from labor and capital, of federal expenditures, and of the

Suggested Citation

  • Robert Shackleton, 2018. "Estimating and Projecting Potential Output Using CBO’s Forecasting Growth Model: Working Paper 2018-03," Working Papers 53558, Congressional Budget Office.
    • Handle: RePEc:cbo:wpaper:53558
    as

    Download full text from publisher

    File URL: https://www.cbo.gov/system/files/115th-congress-2017-2018/workingpaper/53558-cbosforecastinggrowthmodel-workingpaper.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Andreas Hornstein & Marianna Kudlyak, 2019. "Aggregate Labor Force Participation and Unemployment and Demographic Trends," Working Paper Series 2019-7, Federal Reserve Bank of San Francisco.
    2. Fontanari, Claudia & Palumbo, Antonella & Salvatori, Chiara, 2020. "Potential Output in Theory and Practice: A Revision and Update of Okun's Original Method," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 247-266.
    3. Pascal Michaillat & Emmanuel Saez, 2019. "Beveridgean Unemployment Gap," Papers 1911.05271, arXiv.org, revised Nov 2021.
    4. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    5. Burger, John D. & Warnock, Francis E. & Warnock, Veronica Cacdac, 2022. "A natural level of capital flows," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 1-16.
    6. Tommaso Proietti & Marco Fioramanti & Cecilia Frale & Libero Monteforte, 2020. "A Systemic Approach to Estimating the Output Gap for the Italian Economy," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(3), pages 465-493, September.
    7. Pinilla Barrera, Alejandro & Hurtado Rendón, Álvaro & Velásquez Ceballos, Hermilson, 2024. "Variation Index of the Output Gap (VIOG): A New Way of Testing Potential GDP Estimations," Documentos de Trabajo de Valor Público 2, Universidad EAFIT.
    8. Peter D. Williams & Mr. Yasser Abdih & Emanuel Kopp, 2020. "Reading the Stars," IMF Working Papers 2020/136, International Monetary Fund.
    9. Mohammad R. Jahan-Parvar & Charles Knipp & Pawel J. Szerszen, 2024. "Trend-Cycle Decomposition and Forecasting Using Bayesian Multivariate Unobserved Components," Finance and Economics Discussion Series 2024-100, Board of Governors of the Federal Reserve System (U.S.).
    10. Remzi Baris Tercioglu, 2020. "A sectoral approach to measuring output gap: Evidence from 20 US sectors over 1948-2019," Working Papers 2012, New School for Social Research, Department of Economics, revised Jun 2021.
    11. Kurt Graden Lunsford, 2023. "Business Cycles and Low-Frequency Fluctuations in the US Unemployment Rate," Working Papers 23-19, Federal Reserve Bank of Cleveland.
    12. Josefine Quast & Maik H. Wolters, 2022. "Reliable Real-Time Output Gap Estimates Based on a Modified Hamilton Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 152-168, January.
    13. R. Jason Faberman & Andreas I. Mueller & Ayşegül Şahin* & Giorgio Topa, 2020. "The Shadow Margins of Labor Market Slack," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S2), pages 355-391, December.
    14. Fatás, Antonio & Singh, Sanjay R., 2024. "Supply or demand? Policy makers’ confusion in the presence of hysteresis," European Economic Review, Elsevier, vol. 161(C).
    15. Augustus J. Panton, 2020. "Climate hysteresis and monetary policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    16. Bruce Fallick & Christopher L. Foote, 2022. "The Impact of the Age Distribution on Unemployment: Evidence from US States," Working Papers 22-27, Federal Reserve Bank of Cleveland.
    17. Murat Tasci, 2019. "Challenges with Estimating U Star in Real Time," Economic Commentary, Federal Reserve Bank of Cleveland, issue November.
    18. Ochsner, Christian & Other, Lars & Thiel, Esther & Zuber, Christopher, 2024. "Demographic aging and long-run economic growth in Germany," Working Papers 02/2024, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    19. Robert J. Hodrick, 2020. "An Exploration of Trend-Cycle Decomposition Methodologies in Simulated Data," NBER Working Papers 26750, National Bureau of Economic Research, Inc.
    20. Filippo Occhino, 2019. "The Flattening of the Phillips Curve: Policy Implications Depend on the Cause," Economic Commentary, Federal Reserve Bank of Cleveland, issue July.
    21. Jeremy B. Rudd, 2022. "The Anatomy of Single-Digit Inflation in the 1960s," Finance and Economics Discussion Series 2022-029, Board of Governors of the Federal Reserve System (U.S.).
    22. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2021. "The impact of hedging on risk-averse agents’ output decisions," Economic Modelling, Elsevier, vol. 104(C).
    23. Martinez, Andrew & Schibuola, Alex, 2021. "The Expectations Gap: An Alternative Measure of Economic Slack," Working Papers 11284, George Mason University, Mercatus Center.
    24. Chang Liu & Yinxi Xie, 2023. "Understanding Inflation Dynamics: The Role of Government Expenditures," Staff Working Papers 23-30, Bank of Canada.
    25. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.

    More about this item

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cbo:wpaper:53558. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cbogvus.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.