IDEAS home Printed from https://ideas.repec.org/a/bea/beascb/v101y2021i1p3.html
   My bibliography  Save this article

The Revisions to GDP, GDI, and Their Major Components

Author

Listed:
  • Dennis J. Fixler
  • Eva de Francisco
  • Danit Kanal

Abstract

No abstract is available for this item.

Suggested Citation

  • Dennis J. Fixler & Eva de Francisco & Danit Kanal, 2021. "The Revisions to GDP, GDI, and Their Major Components," Survey of Current Business, Bureau of Economic Analysis, vol. 101(1), pages 1-3, January.
    • Handle: RePEc:bea:beascb:v:101:y:2021:i:1:p:3
    as

    Download full text from publisher

    File URL: https://apps.bea.gov/scb/issues/2021/01-january/pdf/0121-revisions-to-gdp-gdi.pdf
    Download Restriction: no
    File URL: https://apps.bea.gov/scb/issues/2021/01-january/0121-revisions-to-gdp-gdi.htm
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Tyler Pike & Francisco Vazquez-Grande, 2019. "Out-of-Sample Performance of Recession Probability Models," FEDS Notes 2019-12-13-1, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

    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. Dennis J. Fixler & Eva de Francisco & Danit Kanal, 2021. "The Revisions to GDP, GDI, and Their Major Components," Survey of Current Business, Bureau of Economic Analysis, January.
    2. Markandya, Anil & Arto, Iñaki & González-Eguino, Mikel & Román, Maria V., 2016. "Towards a green energy economy? Tracking the employment effects of low-carbon technologies in the European Union," Applied Energy, Elsevier, vol. 179(C), pages 1342-1350.
    3. Aliprantis, Dionissi & Martin, Hal & Tauber, Kristen, 2024. "What determines the success of housing mobility programs?," Journal of Housing Economics, Elsevier, vol. 65(C).
    4. Dionissi Aliprantis & Daniel R. Carroll & Eric Young, 2021. "The Racial Wealth Gap and Access to Opportunity Neighborhoods," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2021(18), pages 1-5, September.
    5. Evan S. Totty & Thor Watson, 2024. "Privacy Protection and Accuracy: What Do We Know? Do We Know Things?? Let's Find Out!," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences, National Bureau of Economic Research, Inc.
    6. Ilaria Benedetti & Federico Crescenzi & Tiziana Laureti, 2020. "Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    7. Abe C. Dunn & Eric English & Kyle K. Hood & Lowell Mason & Brian Quistorff, 2024. "Expanding the Frontier of Economic Statistics Using Big Data: A Case Study of Regional Employment," BEA Papers 0128, Bureau of Economic Analysis.
    8. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    9. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
    10. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    11. M. E. Bontempi & R. Golinelli & M. Squadrani, 2016. "A New Index of Uncertainty Based on Internet Searches: A Friend or Foe of Other Indicators?," Working Papers wp1062, Dipartimento Scienze Economiche, Universita' di Bologna.
    12. Minnich, Aljoscha & Roggenkamp, Hauke & Lange, Andreas, 2024. "Ambiguity attitudes and surprises: Experimental evidence on communicating new information within a large population sample," Journal of Economic Behavior & Organization, Elsevier, vol. 228(C).
    13. Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
    14. Aljoscha Minnich & Hauke Roggenkamp & Andreas Lange, 2023. "Ambiguity Attitudes and Surprises: Experimental Evidence on Communicating New Information within a Large Population Sample," CESifo Working Paper Series 10783, CESifo.
    15. repec:osf:socarx:4b2y8_v1 is not listed on IDEAS
    16. Hobler, Stephan, 2022. "Multi-layered rational inattention and time-varying volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    17. Ana Beatriz Galvão & James Mitchell, 2019. "Measuring Data Uncertainty: An Application using the Bank of England's "Fan Charts" for Historical GDP Growth," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-08, Economic Statistics Centre of Excellence (ESCoE).
    18. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    19. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    20. Ana Beatriz Galvão & James Mitchell, 2024. "Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(1), pages 81-114, February.
    21. Binswanger, Johannes & Oechslin, Manuel, 2020. "Better statistics, better economic policies?," European Economic Review, Elsevier, vol. 130(C).

    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:bea:beascb:v:101:y:2021:i:1:p:3. 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: Andrea Batch (email available below). General contact details of provider: https://edirc.repec.org/data/beagvus.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.