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Capital stock approximation using firm level panel data

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  • Steffen Mueller

Abstract

Many recent studies exploring conditional factor demand or factor substitution issues use firm level panel data. A considerable number of establishment panels contains no direct information on the capital input, necessary for production or cost function estimation. Incorrect measurement of capital leads to biased esti- mates and casts doubt on any inference on output elasticities or input substitution properties. The perpetual inventory approach, commonly used for long panels, is a method that attenuates these problems. In this paper a modified perpetual in- ventory approach is proposed. This method provides more reliable measures for capital input when short firm panels are used and no direct information on capital input is available. The empirical results based on a replication study of Addison et al. (2006) support the conclusion that modified perpetual inventory is superior to previous attempts in particular when fixed effects estimation techniques are used. The method thus makes a considerable number of recently established firm pan- els accessible to more sophisticated production function or factor demand analyses.

Suggested Citation

  • Steffen Mueller, 2008. "Capital stock approximation using firm level panel data," Working Papers 038, Bavarian Graduate Program in Economics (BGPE).
  • Handle: RePEc:bav:wpaper:038_mueller
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    File URL: http://www.bgpe.de/texte/DP/038_mueller.pdf
    File Function: First version, 2008
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    References listed on IDEAS

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    1. Yu Hsing, 1996. "An empirical estimation of regional production functions for the U.S. manufacturing industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 30(4), pages 351-358.
    2. Øivind Anti Nilsen & Fabio Schiantarelli, 2003. "Zeros and Lumps in Investment: Empirical Evidence on Irreversibilities and Nonconvexities," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1021-1037, November.
    3. Carmine Ornaghi, 2006. "Assessing the effects of measurement errors on the estimation of production functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 879-891.
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    Citations

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    Cited by:

    1. Achim Schmillen, 2016. "The Exporter Wage Premium Reconsidered—Destinations, Distances and Linked Employer–Employee Data," Review of Development Economics, Wiley Blackwell, pages 531-546.
    2. Ljubica Nedelkoska & Simon Wiederhold, 2010. "Technology, outsourcing, and the demand for heterogeneous labor: Exploring the industry dimension," Jena Economic Research Papers 2010-052, Friedrich-Schiller-University Jena.
    3. Joachim Wagner, 2010. "Estimated Capital Stock Values for German Manufacturing Enterprises Covered by the Cost Structure Surveys," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 130(3), pages 403-408.
    4. Mohrenweiser, Jens, 2016. "Recruitment and apprenticeship training," Industrielle Beziehungen - Zeitschrift fuer Arbeit, Organisation und Management - The German Journal of Industrial Relations, Rainer Hampp Verlag, vol. 23(1), pages 6-24.
    5. Kwon, Sanguk & Cho, Seong-Hoon & Roberts, Roland Keith & Kim, Taeyoung & Yu, T. Edward, 2015. "Effects of changes in electricity price on electricity demand and resulting effects on manufacturing output," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196850, Southern Agricultural Economics Association.
    6. Czarnitzki, Dirk & Thorwarth, Susanne, 2012. "Productivity effects of basic research in low-tech and high-tech industries," Research Policy, Elsevier, vol. 41(9), pages 1555-1564.
    7. Uwe Jirjahn & Steffen Mueller, 2014. "Non-union worker representation, foreign owners, and the performance of establishments," Oxford Economic Papers, Oxford University Press, vol. 66(1), pages 140-163, January.
    8. Fritsch, Michael & Changoluisa, Javier, 2017. "New business formation and the productivity of manufacturing incumbents: Effects and mechanisms," Journal of Business Venturing, Elsevier, vol. 32(3), pages 237-259.
    9. Müller, Steffen & Stegmaier, Jens, 2013. "The Dynamic Effects of Works Councils on Labor Productivity: First Evidence from Panel Data," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79846, Verein für Socialpolitik / German Economic Association.
    10. Bellmann, Lutz & Gerner, Hans-Dieter & Hübler, Olaf, 2013. "Investment under Company-Level Pacts," IZA Discussion Papers 7195, Institute for the Study of Labor (IZA).
    11. Tobias Brändle, 2013. "Flexible Collective Bargaining Agreements: Still a Moderating Effect on Works Council Behaviour?," IAW Discussion Papers 96, Institut für Angewandte Wirtschaftsforschung (IAW).

    More about this item

    Keywords

    production function; capital input;

    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
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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