IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v35y2014i4p288-299.html
   My bibliography  Save this article

A Statistical Illusion of Large‐firm Conformity to Gibrat's Law

Author

Listed:
  • James N. Giordano

Abstract

When mean growth rates decline across large size classes of firms, the differences can become too small to achieve statistical significance, creating an illusion of proportionate size‐independent growth (Gibrat's law). Thus, a final confirmation of the law requires a lognormal size distribution with a secularly increasing variance (growing firm size inequality). An empirical test on the less‐than‐truckload trucking industry demonstrates the illusion. The growth rate mean and variance between the two largest classes are statistically indistinguishable, despite an actual decline in both. Their combined size distribution gives a poor fit to lognormal, however, so large‐firm conformity to the law is rejected. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • James N. Giordano, 2014. "A Statistical Illusion of Large‐firm Conformity to Gibrat's Law," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 35(4), pages 288-299, June.
  • Handle: RePEc:wly:mgtdec:v:35:y:2014:i:4:p:288-299
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Andrew T. Balthrop, 2021. "Gibrat’s law in the trucking industry," Empirical Economics, Springer, vol. 61(1), pages 339-354, July.
    2. Miller, Jason W. & Phares, Jonathan & Burks, Stephen V., 2023. "Job Creation and Job Destruction Dynamics in the U.S. Truck Transportation Industry, 1995-2019," IZA Discussion Papers 16184, Institute of Labor Economics (IZA).

    More about this item

    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:wly:mgtdec:v:35:y:2014:i:4:p:288-299. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.