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A macro-micro approach to compiling statistics

Author

Listed:
  • Gerrit van den Dool
  • Marc de Vor
  • Dirk van der Wal

Abstract

This paper outlines a so-called macro-micro approach to compiling statistics that has been developed by De Nederlandsche Bank. Instead of trying to assess the plausibility of all individual micro data in all individual reports, this approach focuses first on the plausibility of a corresponding macro statistic. It has been implemented by the introduction of new statistical techniques, a set of drill-down tools (SIRIUS), in order to restrict checks of micro data to what is really relevant, and an increased comparison of macro-economic data from different sources. It is demonstrated that this way of data-analysis, applicable to any aggregate statistics based on large amounts of micro data, enables the compiler to raise both the quality of the statistics and the efficiency of the checking processes.

Suggested Citation

  • Gerrit van den Dool & Marc de Vor & Dirk van der Wal, 2008. "A macro-micro approach to compiling statistics," IFC Working Papers 2, Bank for International Settlements.
    • Handle: RePEc:bis:bisiwp:2
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    References listed on IDEAS

    as
    1. Mrs. Carol S Carson & Ms. Lucie Laliberté, 2002. "Assessing Accuracy and Reliability: A Note Basedon Approaches Used in National Accounts and Balance of Payments Statistics," IMF Working Papers 2002/024, International Monetary Fund.
    2. Bouthevillain, Carine & Cour-Thimann, Philippine & van de Dool, Gerrit & Hernández de Cos, Pablo & Langenus, Geert & Mohr, Matthias & Momigliano, Sandro & Tujula, Mika, 2001. "Cyclically adjusted budget balances: an alternative approach," Working Paper Series 77, European Central Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Peter Askjær Drejer, 2013. "Optimizing Checking of Statistical Reports," IFC Working Papers 11, Bank for International Settlements.

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    More about this item

    Keywords

    data quality; plausibility checks; data control; detection of outliers; drill-down tools;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • 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
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

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