IDEAS home Printed from https://ideas.repec.org/p/see/wpaper/113.html

Gross Domestic Expenditures (GDE): the Need for a New National Aggregate Statistic

Author

Listed:
  • Mark Skousen

Abstract

In national income and product accounts, Gross Domestic Product (GDP) is widely recognized as the most common denominator of economic performance. However, because it measures final output only, GDP overemphasizes the role of consumer spending as a driver of economic growth rather than saving, business investment, and technological advances. In an effort to create a more balanced picture of the production/consumption process, I create Gross Domestic Expenditures (GDE), a new national aggregate statistic that measures sales at all stages of production. Drawing from the annual input-output data compiled by the Bureau of Economic Analysis, gross business receipts from the IRS, and other sources, GDE estimates gross spending patterns in intermediate production (goods-in-process) and final output. GDE should be the starting point for measuring aggregate spending in the economy, as it measures both the "make" economy (intermediate production), and the "use" economy (final use or GDP). It complements GDP and can easily be incorporated in standard national income accounting and macroeconomic analysis. In the United States, GDE appears to be more than twice the size of GDP, and has historically been three times more volatile than GDP, and serves as a better indicator of business cycle activity. I conclude that consumer spending represents approximately 30 percent of total economic activity (GDE), not 70 percent as often reported. This conclusion is more consistent with the leading economic indicators published by the Conference Board.

Suggested Citation

  • Mark Skousen, 2010. "Gross Domestic Expenditures (GDE): the Need for a New National Aggregate Statistic," UCL SSEES Economics and Business working paper series 113, UCL School of Slavonic and East European Studies (SSEES).
  • Handle: RePEc:see:wpaper:113
    as

    Download full text from publisher

    File URL: http://discovery.ucl.ac.uk/1370604/1/wp113.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. J. Steven Landefeld & Eugene P. Seskin & Barbara M. Fraumeni, 2008. "Taking the Pulse of the Economy: Measuring GDP," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 193-216, Spring.
    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. Anthony J Evans, 2020. "The natural rate of interest: An estimate for the United Kingdom," Economic Affairs, Wiley Blackwell, vol. 40(1), pages 24-35, February.
    2. Anthony Evans & Robert Thorpe, 2013. "The (quantity) theory of money and credit," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 26(4), pages 463-481, December.

    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. Sunghun Lim, 2021. "Global Agricultural Value Chains and Structural Transformation," NBER Chapters, in: Risks in Agricultural Supply Chains, pages 29-57, National Bureau of Economic Research, Inc.
    2. Michael P. Clements, 2014. "Anticipating Early Data Revisions to US GDP and the Effects of Releases on Equity Markets," ICMA Centre Discussion Papers in Finance icma-dp2014-06, Henley Business School, University of Reading.
    3. Sandra Waddock, 2016. "Foundational Memes for a New Narrative About the Role of Business in Society," Humanistic Management Journal, Springer, vol. 1(1), pages 91-105, September.
    4. Andrew C. Chang & Trace J. Levinson, 2023. "Raiders of the lost high‐frequency forecasts: New data and evidence on the efficiency of the Fed's forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 88-104, January.
    5. Clements, Michael P., 2012. "Do professional forecasters pay attention to data releases?," International Journal of Forecasting, Elsevier, vol. 28(2), pages 297-308.
    6. Ben Salem, Leila & Nouira, Ridha & Saafi, Sami & Rault, Christophe, 2024. "How do oil prices affect the GDP and its components? New evidence from a time-varying threshold model," Energy Policy, Elsevier, vol. 190(C).
    7. repec:jpe:journl:1046 is not listed on IDEAS
    8. Martin Feldstein, 2017. "Underestimating the Real Growth of GDP, Personal Income, and Productivity," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 145-164, Spring.
    9. V. K. Shrotryia & Shashank Vikram Pratap Singh, 2020. "Measuring Progress Beyond GDP: A Theoretical Perspective," Emerging Economy Studies, International Management Institute, vol. 6(2), pages 143-165, November.
    10. Demetrescu, Matei & Kruse-Becher, Robinson, 2025. "Is U.S. real output growth non-normal? A tale of time-varying location and scale," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
    11. Daniel Culbertson & Tara Sinclair, 2014. "The Failure of Forecasts in the Great Recession," Challenge, Taylor & Francis Journals, vol. 57(6), pages 34-45.
    12. Andrew C. Chang, 2018. "The Fed's Asymmetric Forecast Errors," Finance and Economics Discussion Series 2018-026, Board of Governors of the Federal Reserve System (U.S.).
    13. Lu, Fei & Zeng, Qing & Bouri, Elie & Tao, Ying, 2024. "Forecasting US GDP growth rates in a rich environment of macroeconomic data," International Review of Economics & Finance, Elsevier, vol. 95(C).
    14. Michael P Clements, 2014. "Assessing the Evidence of Macro- Forecaster Herding: Forecasts of Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-12, Henley Business School, University of Reading.
    15. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    16. Junhui Cai & Dan Yang & Ran Chen & Wu Zhu & Haipeng Shen & Linda Zhao, 2021. "Network regression and supervised centrality estimation," Papers 2111.12921, arXiv.org, revised Feb 2025.
    17. Jaqueson K. Galimberti, 2020. "Forecasting GDP Growth from Outer Space," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 697-722, August.
    18. Charles F. Manski, 2015. "Communicating Uncertainty in Official Economic Statistics: An Appraisal Fifty Years after Morgenstern," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 631-653, September.
    19. Clements, Michael P., 2010. "Explanations of the inconsistencies in survey respondents' forecasts," European Economic Review, Elsevier, vol. 54(4), pages 536-549, May.
    20. Charles F. Manski, 2014. "Communicating Uncertainty in Official Economic Statistics," NBER Working Papers 20098, National Bureau of Economic Research, Inc.
    21. repec:dgr:rugggd:gd-125 is not listed on IDEAS
    22. Jacky Mallett & Charles Keen, 2012. "Does GDP measure growth in the economy or simply growth in the money supply?," Papers 1208.0642, arXiv.org.

    More about this item

    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:see:wpaper:113. 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: the person in charge The email address of this maintainer does not seem to be valid anymore. Please ask the person in charge to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/csescuk.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.