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The Ifo Investment Database

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  • Thomas Strobel
  • Stefan Sauer
  • Klaus Wohlrabe

Abstract

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.
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Suggested Citation

  • Thomas Strobel & Stefan Sauer & Klaus Wohlrabe, 2013. "The Ifo Investment Database," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 133(3), pages 449-460.
    • Handle: RePEc:aeq:aeqsjb:v133_y2013_i3_q3_p449-460
    DOI: 10.3790/schm.133.3.449
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    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," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    3. Oliver Roehn & Theo Eicher & Thomas Strobel, 2007. "The Ifo Industry Growth Accounting Database," CESifo Working Paper Series 1915, CESifo.
    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.
    6. Wolfgang Nierhaus, 2004. "Economic growth in the system of national accounts: the introduction of the previous-year price base in the German statistics," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(05), pages 28-34, March.
    7. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2005. "Productivity, Volume 3: Information Technology and the American Growth Resurgence," MIT Press Books, The MIT Press, edition 1, volume 3, number 0262101114, December.
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    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(01), pages 64-68, May.
    2. Stefan Sauer, 2013. "Ifo Investment Survey of Wholesaling: Investment Plans Oriented Upwards," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(14), pages 41-43, July.
    3. 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.
    4. Stefan Sauer, 2013. "Ifo Investment Survey of Retailing and Car Dealing: Only Large Companies Plan to Boost Investments," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(13), pages 65-69, July.
    5. Elstner, Steffen & Grimme, Christian & Kecht, Valentin & Lehmann, Robert, 2022. "The diffusion of technological progress in ICT," European Economic Review, Elsevier, vol. 149(C).
    6. Thomas Strobel & Stefan Sauer & Klaus Wohlrabe, 2013. "Ifo Investment Database: a Tool for Analysing Investment Structures in Germany," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(06), pages 29-33, March.

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    More about this item

    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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