IDEAS home Printed from https://ideas.repec.org/p/use/tkiwps/1023.html

Firm Size and Growth Rate Variance: the Effects of Data Truncation

Author

Listed:
  • M. Capasso
  • E. Cefis

Abstract

This paper discusses the effects of the existence of natural and/or exogenously imposed thresholds in firm size distributions, on estimations of the relation between firm size and variance in firm growth rates. We explain why the results in the literature on this relationship are not consistent. We argue that a natural threshold (0 number of employees or 0 total sales) and/or the existence of truncating thresholds in the dataset, can lead to upwardly biased estimations of the relation. We show the potential impact of the bias on simulated data, suggest a methodology to improve these estimations, and present an empirical analysis based on a comprehensive dataset of Dutch manufacturing and service firms. The only stable relation between firm size and growth rate variance is negative regardless of how we define the measure of firm growth.

Suggested Citation

  • M. Capasso & E. Cefis, 2010. "Firm Size and Growth Rate Variance: the Effects of Data Truncation," Working Papers 10-23, Utrecht School of Economics.
    • Handle: RePEc:use:tkiwps:1023
    as

    Download full text from publisher

    File URL: https://dspace.library.uu.nl/bitstream/handle/1874/309380/10_23.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Fabio Pieri, 2018. "Vertical organization of production and firm growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(1), pages 83-106.
    3. Fabio Pieri, 2015. "Vertical organization of production and firm growth behavior," Working Papers 1508, Department of Applied Economics II, Universidad de Valencia.
    4. Marco Capasso & Tania Treibich & Bart Verspagen, 2015. "The medium-term effect of R&D on firm growth," Small Business Economics, Springer, vol. 45(1), pages 39-62, June.
    5. Christos Axioglou & Nicos Christodoulakis, 2019. "Which firms survive in a crisis? Corporate dynamics in Greece 2001-2014," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 133, Hellenic Observatory, LSE.
    6. Murmann Johann Peter & Korn Jenny & Worch Hagen, 2014. "How Fast Can Firms Grow?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 210-233, April.
    7. Christos Axioglou & Nicos Christodoulakis, 2021. "Which firms survive in a crisis? Investigating Gibrat’s Law in Greece 2001–2014," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(2), pages 159-217, June.
    8. Marco Capasso & Elena Cefis & Alessandro Sapio, 2013. "Reconciling quantile autoregressions of firm size and variance–size scaling," Small Business Economics, Springer, vol. 41(3), pages 609-632, October.
    9. Claudiu Tiberiu Albulescu & Matei Tămășilă & Ilie Mihai Tăucean, 2021. "The Nonlinear Relationship Between Firm Size and Growth in the Automotive Industry," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 445-463, September.
    10. Calvino, Flavio & Criscuolo, Chiara & Menon, Carlo & Secchi, Angelo, 2018. "Growth volatility and size: A firm-level study," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 390-407.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:use:tkiwps:1023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/eiruunl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.