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Inventory Investment as Reflected in Statistics

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  • Klaus Abberger
  • Wolfgang Nierhaus

Abstract

Investment in inventories plays no important role in the growth of gross domestic product in Germany in the long-term. Yet it is nevertheless significant from a short-term point of view. It can have a pro-cyclical effect and exacerbate cyclical swings, but may also be anti-cyclical and offset such swings. This article focuses on the question of storage as featured in Ifo company surveys and reveals links with the national accounts.

Suggested Citation

  • Klaus Abberger & Wolfgang Nierhaus, 2015. "Inventory Investment as Reflected in Statistics," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(15), pages 33-37, August.
    • Handle: RePEc:ces:ifosdt:v:68:y:2015:i:15:p:33-37
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    References listed on IDEAS

    as
    1. Georg Goldrian, 2004. "Handbuch der umfragebasierten Konjunkturforschung," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 15.
    2. Yngve Abrahamsen & Jochen Hartwig, 2010. "Lagerinvestitionen und Produktion in Europa: Gibt es ein Muster?," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 4(2), pages 27-40, June.
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    Cited by:

    1. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    2. Timo Wollmershäuser, 2016. "Forecasting Revisions of Stock Changes Using Ifo Inventory Assessments," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(07), pages 26-32, April.
    3. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.

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    More about this item

    JEL classification:

    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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