IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/88659.html
   My bibliography  Save this paper

Industrialisation in official statistics: a view on quality reporting and sufficient quality

Author

Listed:
  • Booleman, Max
  • Zeelenberg, Kees

Abstract

We don't make them like that anymore, and it's a good job too! Industrialisation and standardization lead to constant product quality in time. In official statistics, just as in car manufacturing, intermediate statistical products and final statistical products should have a constant quality level according the pre-set specifications. These specifications include the quality level and their allowed tolerances. This way individual quality reporting is not needed anymore because every product is according the specifications. The required quality level depends on the intended use. Based on ideas of the accountancy world about sufficient quality we could say: The quality of statistical information is insufficient if a better figure resulted into another decision. If there is a need to improve quality we should make a distinction between process and product quality. Improving product quality during a production cycle is only allowed if they do not meet yet the pre-set specifications. Improving process quality should lead to more efficiency and more robust product quality. Changing product specifications, including the pre-set quality level, leads to product and process redesign and to explicit communication with users. The producer of statistical information informs the users about the intended use. The quality level is sufficient for this intended use. Actual use is monitored to avoid mis-use.

Suggested Citation

  • Booleman, Max & Zeelenberg, Kees, 2013. "Industrialisation in official statistics: a view on quality reporting and sufficient quality," MPRA Paper 88659, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:88659
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/88659/1/MPRA_paper_88659.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    intended /actual use; quality; official statistics;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    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:pra:mprapa:88659. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.