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Understanding the processes of firm growth - a closer look at serial growth rate correlation

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Author Info

  • Alex Coad

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    (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Paris I - Panthéon-Sorbonne, Max Planck Institute of Economics - Evolutionary Economics Group)

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    Abstract

    Serial correlation in annual growth rates carries a lot of information on growth processes - it allows us to directly observe firm performance as well as to test hypotheses. Using a 7-year balanced panel of 10 000 French manufacturing firms, we observe that small firms typically are subject to negative correlation of growth rates, whereas larger firms display positive correlation. Furthermore, we find that those small firms that experience extreme positive or negative growth in any one year are unlikely to repeat this performance in the following year.

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    Bibliographic Info

    Paper provided by HAL in its series Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) with number halshs-00118801.

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    Date of creation: Jun 2006
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    Handle: RePEc:hal:cesptp:halshs-00118801

    Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00118801
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    Related research

    Keywords: Serial correlation; firm growth; quantile regression.;

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    Cited by:
    1. Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.

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