A macro-micro approach to compiling statistics

Gerrit van den Dool, Marc de Vor and Dirk van der Wal

No 2, IFC Working Papers from Bank for International Settlements

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.

Keywords: data quality; plausibility checks; data control; detection of outliers; drill-down tools (search for similar items in EconPapers)
JEL-codes: C10 C40 C42 C81 C82 C88 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2008-05
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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