IDEAS home Printed from https://ideas.repec.org/a/taf/jnlbes/v30y2012i2p202-211.html
   My bibliography  Save this article

A Balanced System of U.S. Industry Accounts and Distribution of the Aggregate Statistical Discrepancy by Industry

Author

Listed:
  • Baoline Chen

Abstract

This article describes and illustrates a generalized least squares (GLS) method that systematically incorporates all available information on the reliability of initial data in the reconciliation of a large disaggregated system of national accounts. The GLS method is applied to reconciling the 1997 U.S. Input-Output and Gross Domestic Product (GDP)-by-industry accounts with benchmarked GDP estimated from expenditures. The GLS procedure produced a balanced system of industry accounts and distributed the aggregate statistical discrepancy by industry according to the estimated relative reliabilities of initial estimates. The study demonstrates the empirical feasibility and computational efficiency of the GLS method for large accounts reconciliation.

Suggested Citation

  • Baoline Chen, 2012. "A Balanced System of U.S. Industry Accounts and Distribution of the Aggregate Statistical Discrepancy by Industry," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 202-211, February.
    • Handle: RePEc:taf:jnlbes:v:30:y:2012:i:2:p:202-211
    DOI: 10.1080/07350015.2012.669667
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07350015.2012.669667
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/07350015.2012.669667?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. J. Joseph Beaulieu & Eric J. Bartelsman, 2006. "Integrating Expenditure and Income Data: What to Do with the Statistical Discrepancy?," NBER Chapters, in: A New Architecture for the US National Accounts, pages 309-354, National Bureau of Economic Research, Inc.
    2. Baoline Chen, 2006. "A Balanced System of Industry Accounts for the U.S. and Structural Distribution of Statistical Discrepancy," BEA Papers 0070, Bureau of Economic Analysis.
    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. Geoffrey Brent, 2018. "Maximum likelihood estimation framework for table‐balancing adjustments," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 520-532, November.
    2. Enrique M. Quilis, 2018. "Temporal disaggregation of economic time series: The view from the trenches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 447-470, November.
    3. Baoline Chen & Tommaso Di Fonzo & Thomas Howells & Marco Marini, 2018. "The statistical reconciliation of time series of accounts between two benchmark revisions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 533-552, November.
    4. Baoline Chen & Tommaso Di Fonzo & Thomas Howells & Marco Marini, 2014. "The Statistical Reconciliation of Time Series of Accounts after a Benchmark Revision," BEA Working Papers 0117, Bureau of Economic Analysis.
    5. Víctor M. Guerrero & Francisco Corona, 2018. "Retropolating some relevant series of Mexico's System of National Accounts at constant prices: The case of Mexico City's GDP," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 495-519, November.
    6. Tucker McElroy, 2018. "Seasonal adjustment subject to accounting constraints," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 574-589, November.

    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. Corrado Carol & Lengermann Paul & Beaulieu J. Joseph & Bartelsman Eric J., 2007. "Sectoral Productivity in the United States: Recent Developments and the Role of IT," German Economic Review, De Gruyter, vol. 8(2), pages 188-210, May.
    2. Reinier Bikker & Jacco Daalmans & Nino Mushkudiani, 2013. "Benchmarking Large Accounting Frameworks: A Generalized Multivariate Model," Economic Systems Research, Taylor & Francis Journals, vol. 25(4), pages 390-408, December.
    3. Dylan G. Rassier & Thomas F. Howell III & Edward T. Morgan & Nicholas R. Empey & Conrad E. Roesch, 2007. "Implementing a Reconciliation and Balancing Model in the U.s. Industry Accounts," BEA Papers 0078, Bureau of Economic Analysis.
    4. Carol Corrado & Paul Lengermann & Eric J. Bartelsman & J. Joseph Beaulieu, 2007. "Sectoral Productivity in the United States: Recent Developments and the Role of IT," German Economic Review, Verein für Socialpolitik, vol. 8(2), pages 188-210, May.
    5. Tommaso Fonzo & Marco Marini, 2015. "Reconciliation of systems of time series according to a growth rates preservation principle," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 651-669, November.
    6. Baoline Chen, 2006. "A Balanced System of Industry Accounts for the U.S. and Structural Distribution of Statistical Discrepancy," BEA Papers 0070, Bureau of Economic Analysis.

    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:taf:jnlbes:v:30:y:2012:i:2:p:202-211. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UBES20 .

    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.