IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v33y2017i1p223-247n12.html
   My bibliography  Save this article

Changing Industrial Classification to SIC (2007) at the UK Office for National Statistics

Author

Listed:
  • Smith Paul A.

    (Statistical Sciences Research Institute, University of Southampton, Highfield, Southampton, SO17 1BJ, United Kingdom of Great Britain and Northern Ireland)

  • James Gareth G.

    (Office for National Statistics, Cardiff Road, Newport, NP10 8XG, United Kingdom of Great Britain and Northern Ireland)

Abstract

As part of the changes to industrial classifications following the United Nations’ revision to the International Standard Industrial Classification, ISIC Rev. 4, the UK moved to its version of a new classification between 2007 and 2011. We describe the processes involved in changing an industrial classification, including model-based adjustment methods and changes to survey designs and operations. We discuss the quality of the approaches used for different time periods in the same series, and the ways in which consistent time series are produced for users of economic statistics. We provide some general evaluation of the changeover, and guidance on the best approaches to follow when updating classifications.

Suggested Citation

  • Smith Paul A. & James Gareth G., 2017. "Changing Industrial Classification to SIC (2007) at the UK Office for National Statistics," Journal of Official Statistics, Sciendo, vol. 33(1), pages 223-247, March.
    • Handle: RePEc:vrs:offsta:v:33:y:2017:i:1:p:223-247:n:12
    DOI: 10.1515/jos-2017-0012
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jos-2017-0012
    Download Restriction: no
    File URL: https://libkey.io/10.1515/jos-2017-0012?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
    ---><---

    References listed on IDEAS

    as
    1. Oksana Bollineni-Balabay & Jan Brakel & Franz Palm, 2016. "Multivariate state space approach to variance reduction in series with level and variance breaks due to survey redesigns," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 377-402, February.
    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. Jan A. Brakel & Sabine Krieg, 2016. "Small area estimation with state space common factor models for rotating panels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 763-791, June.
    2. Oksana Bollineni‐Balabay & Jan van den Brakel & Franz Palm & Harm Jan Boonstra, 2017. "Multilevel hierarchical Bayesian versus state space approach in time series small area estimation: the Dutch Travel Survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 1281-1308, October.

    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:vrs:offsta:v:33:y:2017:i:1:p:223-247:n:12. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.