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The Ifo Investment Database


  • Thomas Strobel
  • Stefan Sauer


  • Klaus Wohlrabe



In this paper we present the Ifo Investment Database, which provides annual investment data for 12 investment assets in 50 German industries from 1991 onward. The data is consistent with national accounts statistics provided by the German Federal Statistical Office and is based on investments in 88 different sub-assets. This disaggregated level of information allows allocating investments by asset type to each industry, using an investment flow matrix. The database enables researchers to analyze structural investment behavior on the industry level and to identify changes in the importance of in-vestment assets. It additionally collects leasing data from the Ifo Investment Survey Leasing, which enables the conversion of the investment data from the owner to the user concept. This unique feature allows the researcher to examine changes in financing of investments. We describe the structure and methodology of the database and illustrate its variety and strengths by looking at some descriptive examples. Finally, we outline how the data can be accessed.

Suggested Citation

  • Thomas Strobel & Stefan Sauer & Klaus Wohlrabe, 2013. "The Ifo Investment Database," CESifo Working Paper Series 4154, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_4154

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    References listed on IDEAS

    1. Christian Seiler, 2012. "The Data Sets of the LMU-ifo Economics & Business Data Center – A Guide for Researchers," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 132(4), pages 609-618.
    2. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," Review of Economic Studies, Oxford University Press, vol. 34(3), pages 249-283.
    3. Oliver Röhn & Theo Eicher & Thomas Strobel, 2007. "The Ifo Industry Growth Accounting Database," CESifo Working Paper Series 1915, CESifo Group Munich.
    4. Thomas Strobel & Stefan Sauer & Klaus Wohlrabe, 2012. "ifo Investorenrechnung - Dokumentation von Quellen, Verarbeitung und Methodik," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 42.
    5. Theo S. Eicher & Thomas Strobel, 2009. "Information Technology and Productivity Growth," Books, Edward Elgar Publishing, number 13279, June.
    6. Wolfgang Nierhaus, 2004. "Wirtschaftswachstum in den VGR: Zur Einführung der Vorjahrespreisbasis in der deutschen Statistik," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(05), pages 28-34, March.
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    Cited by:

    1. Thomas Strobel & Stefan Sauer & Klaus Wohlrabe, 2013. "Analysing the Structure of German Investments – The Ifo Investment Database," CESifo Forum, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(1), pages 64-68, May.
    2. Stefan Sauer, 2013. "ifo Investitionstest Großhandel: Investitionspläne weiter nach oben gerichtet," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(14), pages 41-43, July.
    3. Stefan Sauer, 2013. "ifo Investitionstest Einzelhandel und Kfz-Handel: Lediglich große Unternehmen wollen Investitionen erhöhen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(13), pages 65-69, July.
    4. Thomas Strobel & Stefan Sauer & Klaus Wohlrabe, 2013. "Die ifo Investorenrechnung: Ein Werkzeug zur Analyse von Investitionsstrukturen in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(06), pages 29-33, March.

    More about this item


    investment database; investment matrix; leasing; owner concept; user concept;

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure


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