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Geroski's Stylized Facts and Mobility of Large German Manufacturing Firms

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  • Krüger, Jens
  • Cantner, Uwe

Abstract

Paul Geroski has established two stylized facts with respect to the prevalence of differential changes (mobility) of indicators of economic and technological performance indicators: technological indicators show a larger amount of mobility than do economic indicators. We assess the two stylized facts for a sample of 392 large German firms observed over the period 1981-93 and assigned to eleven manufacturing industries. We analyze these data with two novel methods, Salter curves and mobility indices based on fractile Markov chains. Our analysis supports Geroski's two stylized facts in the case of large German manufacturing firms taking account of sectoral differences.
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Suggested Citation

  • Krüger, Jens & Cantner, Uwe, 2004. "Geroski's Stylized Facts and Mobility of Large German Manufacturing Firms," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 34384, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:34384
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/34384/
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    Cited by:

    1. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    2. Sierdjan Koster & André Stel & Mickey Folkeringa, 2012. "Start-ups as drivers of market mobility: an analysis at the region–sector level for The Netherlands," Small Business Economics, Springer, vol. 39(3), pages 575-585, October.
    3. Mickey Folkeringa & Andre Van Stel & Kashifa Suddle & Sita Tan, 2011. "Measuring business dynamics among incumbent firms in The Netherlands," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 12(2), pages 185-206.
    4. Uwe Cantner, 2017. "Foundations of Economic Change: An Extended Schumpeterian Approach," Economic Complexity and Evolution, in: Andreas Pyka & Uwe Cantner (ed.), Foundations of Economic Change, pages 9-49, Springer.
    5. Uwe Cantner & Holger Graf & Ekaterina Prytkova & Simone Vannuccini, 2018. "The Compositional Nature of Productivity and Innovation Slowdown," Jena Economics Research Papers 2018-006, Friedrich-Schiller-University Jena.
    6. Hans Lööf, 2011. "R&D-Persistency, Metropolitan Externalities and Productivity," ERSA conference papers ersa11p1396, European Regional Science Association.
    7. Cantner, Uwe & Vannuccini, Simone, 2021. "Pervasive technologies and industrial linkages: Modeling acquired purposes," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 386-399.
    8. Sanatkhani, Mahboobeh & Vasaf, Esmaeil, 2014. "Dynamics of innovation and efficiency in banking system: An application of SFA and meta-frontier method," MPRA Paper 64840, University Library of Munich, Germany.
    9. Sierdjan Koster & André Stel, 2014. "The relationship between start-ups, market mobility and employment growth: An empirical analysis for Dutch regions," Papers in Regional Science, Wiley Blackwell, vol. 93(1), pages 203-217, March.

    More about this item

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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