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Estimated capital stock values for German manufacturing enterprises covered by the cost structure surveys

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  • Joachim Wagner

    (Institute of Economics, Leuphana University of Lüneburg, Germany)

Abstract

Information on the capital stock employed in a firm is missing in data sets from official statistics in Germany. This paper presents a method to estimate the capital stock of manufacturing enterprises that are covered by the cost structure survey from German official statistics. It uses data from this survey on the amount of depreciation at the enterprise level, information on the average life span of capital goods (for equipments, and for buildings) at the level of the economy , and information on the composition of the capital stock at the level of two-digit industries. The paper reports the data needed to estimate the capital stock at the enterprise level for the years 1995 to 2008. The appendix gives the Stata code to compute these estimates.

Suggested Citation

  • Joachim Wagner, 2010. "Estimated capital stock values for German manufacturing enterprises covered by the cost structure surveys," Working Paper Series in Economics 171, University of Lüneburg, Institute of Economics.
    • Handle: RePEc:lue:wpaper:171
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    References listed on IDEAS

    as
    1. Mueller Steffen, 2008. "Capital Stock Approximation using Firm Level Panel Data: A Modified Perpetual Inventory Approach," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(4), pages 357-371, August.
    2. Andrew Bernard & Joachim Wagner, 1997. "Exports and success in German manufacturing," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(1), pages 134-157, March.
    3. Alexander Vogel, 2009. "The German Business Services Statistics Panel 2003 to 2007," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 129(3), pages 515-522.
    4. Steffen Mueller, 2008. "Capital stock approximation using firm level panel data," Working Papers 038, Bavarian Graduate Program in Economics (BGPE).
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ehrl, Philipp, 2013. "Agglomeration economies with consistent productivity estimates," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 751-763.
    2. Thomas Grebel & Mauro Napoletano & Lionel Nesta, 2023. "Distant but Close in Sight: Firm‐level Evidence on French–German Productivity Gaps in Manufacturing," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(1), pages 228-261, March.
    3. Thomas Grebel & Mauro Napoletano & Lionel Nesta, 2023. "Distant but Close in Sight: Firm‐level Evidence on French–German Productivity Gaps in Manufacturing," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(1), pages 228-261, March.
    4. Christian Pfeifer & Joachim Wagner, 2012. "Age and gender composition of the workforce, productivity and profits: Evidence from a new type of data for German enterprises," Working Paper Series in Economics 232, University of Lüneburg, Institute of Economics.
    5. Schiersch, Alexander, 2016. "Considering the (Un)observed: temporary agency work in productivity estimations," VfS Annual Conference 2016 (Augsburg): Demographic Change 145749, Verein für Socialpolitik / German Economic Association.
    6. Campolmi, Alessia & Fadinger, Harald & Forlati, Chiara & Stillger, Sabine & Wagner, Ulrich, 2023. "Designing Effective Carbon Border Adjustment with Minimal Information Requirements. Theory and Empirics," CEPR Discussion Papers 18645, C.E.P.R. Discussion Papers.
    7. Wagner, Joachim, 2012. "Average wage, qualification of the workforce and export performance in German enterprises : evidence from KombiFiD data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 45(2), pages 161-170.
    8. Sebastian Eichfelder & Kerstin Schneider, 2014. "Tax Incentives and Business Investment: Evidence from German Bonus Depreciation," CESifo Working Paper Series 4805, CESifo.
    9. Eichfelder, Sebastian & Schneider, Kerstin, 2018. "How do tax incentives affect business investment? Evidence from German bonus depreciation," arqus Discussion Papers in Quantitative Tax Research 231, arqus - Arbeitskreis Quantitative Steuerlehre.
    10. Richter, Philipp M. & Schiersch, Alexander, 2017. "CO2 emission intensity and exporting: Evidence from firm-level data," European Economic Review, Elsevier, vol. 98(C), pages 373-391.
    11. Eichfelder, Sebastian & Knaisch, Jonas & Schneider, Kerstin, 2023. "How does bonus depreciation affect real investment? Effect size, asset structure, and tax planning," arqus Discussion Papers in Quantitative Tax Research 278, arqus - Arbeitskreis Quantitative Steuerlehre.
    12. Alexander Schiersch, 2015. "TFP, Labor Productivity and the (Un)observed Labor Input: Temporary Agency Work," Discussion Papers of DIW Berlin 1532, DIW Berlin, German Institute for Economic Research.
    13. John P. Weche Gelübcke, 2013. "Foreign and Domestic Takeovers in Germany: Cherry-picking and Lemon-grabbing," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 59(4), pages 275-294.
    14. repec:bon:boncrc:crctr224_2024_495 is not listed on IDEAS

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    More about this item

    Keywords

    Enterprise data; Germany; capital stock data; cost structure survey;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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