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Quality management of methodology and process development for official statistics

Author

Listed:
  • Zeelenberg, Kees
  • Ypma, Winfried
  • Struijs, Peter

Abstract

Methodology and process development are cornerstones of official statistics and belong to the major factors that contribute to their quality. This is reflected in the European Statistics Code of Practice, which mentions that "Sound methodology underpins quality statistics" and “Appropriate statistical procedures, implemented from data collection to data validation, underpin quality statistics”. However, methodology and processes are hard to explain to the average user, and so we must find other ways to ensure trust in statistical methodology and processes, and to convince users of the quality of official statistical methodology and processes. Important elements of such an approach are independence of the methodological and development units, transparency of methods and process designs, peer reviews, internal reviews and evaluations, and internal quality management. In this paper we look in particular at quality management. We show how quality management of methodological and development units may be based on the Code of Practice. We show how the various elements work together, and how the whole of these elements may lead to certification of the units, for example by EFQM or ISO. In 2017 the department for process development and methodology at Statistics Netherlands was certified according to ISO 9001. As an example, we discuss the various steps that have been taken to achieve this certification. In particular we focus on: the quality procedures for internal and external reports, recommendations and briefs; the quality assurance of statistical development projects in which methodologists and business analysts participate; the quality assurance of methodological courses taught to statisticians; the internal management of the department.

Suggested Citation

  • Zeelenberg, Kees & Ypma, Winfried & Struijs, Peter, 2018. "Quality management of methodology and process development for official statistics," MPRA Paper 88610, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:88610
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    File URL: https://mpra.ub.uni-muenchen.de/88610/1/MPRA_paper_88610.pdf
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    References listed on IDEAS

    as
    1. Braaksma, Barteld & Zeelenberg, Kees, 2015. "“Re-make/Re-model”: Should big data change the modelling paradigm in official statistics?," MPRA Paper 87741, University Library of Munich, Germany.
    2. Kuurstra, Douwe & Zeelenberg, Kees, 2018. "Statistical quality by design: certification, rules and culture," MPRA Paper 88227, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    quality management; official statistics; statistical methods; process development; certification; ISO 9001;
    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

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