IDEAS home Printed from https://ideas.repec.org/p/see/wpaper/113.html
   My bibliography  Save this paper

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. Clements, Michael P. & Beatriz Galvao, Ana, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," Economic Research Papers 270771, University of Warwick - Department of Economics.
    2. Michael P. Clements, 2014. "US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, January.
    3. Erica L. Groshen & Brian C. Moyer & Ana M. Aizcorbe & Ralph Bradley & David M. Friedman, 2017. "How Government Statistics Adjust for Potential Biases from Quality Change and New Goods in an Age of Digital Technologies: A View from the Trenches," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 187-210, Spring.
    4. Clements, Michael P. & Beatriz Galvão, Ana, 2010. "First announcements and real economic activity," European Economic Review, Elsevier, vol. 54(6), pages 803-817, August.
    5. 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.
    6. Martín Almuzara & Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2024. "GDP Solera: The Ideal Vintage Mix," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 984-997, July.
    7. 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.
    8. Galvão, Ana Beatriz, 2017. "Data revisions and DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 215-232.
    9. 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.
    10. Rhazi Zineb & Hefnaoui Ahmed, 2023. "Innovation and level of development in Morocco: Comparative analysis of innovation inputs and outputs according to the "Global Innovation Index" 2017 [Innovation et niveau de développemen," Post-Print hal-04162755, HAL.
    11. Markus K. Brunnermeier & Gary Gorton & Arvind Krishnamurthy, 2012. "Risk Topography," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 149-176.
    12. Laurens Cherchye & Bram De Rock & Dieter Saelens & Marijn Verschelde, 2022. "Productive Efficiency Analysis with Incomplete Output Information," Working Papers ECARES 2022-21, ULB -- Universite Libre de Bruxelles.
    13. 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.
    14. Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2015. "Robust approaches to forecasting," International Journal of Forecasting, Elsevier, vol. 31(1), pages 99-112.
    15. 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.
    16. Tincho Almuzara & Dante Amengual & Enrique Sentana, 2017. "Normality Tests for Latent Variables," Working Papers wp2018_1708, CEMFI.
    17. Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
    18. Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.
    19. Clements, Michael P., 2010. "Why are survey forecasts superior to model forecasts?," Economic Research Papers 270770, University of Warwick - Department of Economics.
    20. 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.

    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 (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.