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Measuring Representativeness of Short-Term Business Statistics

Author

Listed:
  • Ouwehand Pim

    (Department of Methodology, Statistics Netherlands, PO Box 4000, 2270JM Den Haag, The Netherlands.)

  • Schouten Barry

    (Department of Methodology, Statistics Netherlands, PO Box 4000, 2270JM Den Haag, The Netherlands.)

Abstract

Short-term statistics (STS) are important early indicators of economic activity. The statistics are obligatory for all EU countries and also serve as input to national accounts. In most countries, short-term Statistics are based on business surveys. However, in recent years a number of countries have gradually replaced their business surveys with business VAT registry data. An important question is whether these surveys and registries are representative of the populations and whether representativity is stable in time. We apply R-indicators and partial R-indicators to measure the representativity of both kinds of data sources. We find large differences between different months of the year and between the two data sources. We discuss dual frame approaches that optimize the accuracy of STS statistics.

Suggested Citation

  • Ouwehand Pim & Schouten Barry, 2014. "Measuring Representativeness of Short-Term Business Statistics," Journal of Official Statistics, Sciendo, vol. 30(4), pages 623-649, December.
    • Handle: RePEc:vrs:offsta:v:30:y:2014:i:4:p:27:n:4
    DOI: 10.2478/jos-2014-0041
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    References listed on IDEAS

    as
    1. Barry Schouten & Jelke Bethlehem & Koen Beullens & Øyvin Kleven & Geert Loosveldt & Annemieke Luiten & Katja Rutar & Natalie Shlomo & Chris Skinner, 2012. "Evaluating, Comparing, Monitoring, and Improving Representativeness of Survey Response Through R-Indicators and Partial R-Indicators," International Statistical Review, International Statistical Institute, vol. 80(3), pages 382-399, December.
    Full references (including those not matched with items on IDEAS)

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