IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v30y2018i2p271-288.html
   My bibliography  Save this article

Incorporating data quality improvement into supply–use table balancing

Author

Listed:
  • Martin C. Serpell

Abstract

This paper investigates the benefits of using a boundary tightening algorithm to improve the quality of the data used in supply and use table (SUT) balancing, building on similarities with certain approaches to statistical disclosure control. Boundary tightening was shown to significantly improve the quality of the finally balanced SUTs well beyond that of existing techniques. Most notably, improvements occurred when boundary tightening was applied prior to the balancing process – showing that it can be used as a valuable preliminary to other approaches. It also multiplied the improvement in SUTs quality when more accurate updated information was added to the SUTs. The findings of this paper strongly suggest that this boundary tightening algorithm will improve the quality of the output of the balancing process and it is equally likely to be useful when applied to other processes that handle uncertain data.

Suggested Citation

  • Martin C. Serpell, 2018. "Incorporating data quality improvement into supply–use table balancing," Economic Systems Research, Taylor & Francis Journals, vol. 30(2), pages 271-288, April.
    • Handle: RePEc:taf:ecsysr:v:30:y:2018:i:2:p:271-288
    DOI: 10.1080/09535314.2017.1396962
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09535314.2017.1396962
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09535314.2017.1396962?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.

    Citations

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


    Cited by:

    1. Venkata Sai Gargeya Vunnava & Jaewoo Shin & Lan Zhao & Shweta Singh, 2022. "PIOT‐Hub ‐ A collaborative cloud tool for generation of physical input–output tables using mechanistic engineering models," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 107-120, February.
    2. López, Xesús Pereira & de la Torre Cuevas, Fernando, 2023. "An alternative for tracing the path between supply and use tables in current and constant prices," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 293-302.

    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:ecsysr:v:30:y:2018:i:2:p:271-288. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CESR20 .

    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.