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The B.E. Journal of Economic Analysis & Policy

Editor-in-Chief: Ludwig, Sandra / Schmitz, Hendrik

Ed. by Auriol, Emmanuelle / Barigozzi, Francesca / Brunner, Johann / Fleck, Robert / Mastrobuoni, Giovanni / Mendola, Mariapia / Requate, Till / de Vries, Frans / Wenzel, Tobias / Zulehner, Christine

4 Issues per year


IMPACT FACTOR 2017: 0.306
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1935-1682
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Volume 3, Issue 1

Issues

Volume 6 (2006)

Volume 4 (2004)

Volume 2 (2002)

Volume 1 (2001)

Using the Survivor Technique to Estimate Returns to Scale and Optimum Firm Size

James N Giordano
Published Online: 2003-11-04 | DOI: https://doi.org/10.2202/1538-0653.1081

Abstract

The survivor technique for estimating returns to scale and optimum firm size has generated a slow but steady literature since its 1958 pilot presentation by George Stigler. This article (1) integrates advances in its application into a complete demonstration of how the technique works, (2) distinguishes a survivor analysis from the related but different analyses of individual firm growth and size distribution as addressed, for example, by Gibrat's Law of Proportionate Effect, (3) surveys a few exemplary survivor analyses, highlighting their alternative measures of scale and survival, and (4) unifies the scattered discussion of criticisms and qualifications that surround the technique. Accordingly, this essay seeks to reposition the survivor technique as a viable statistical option for research on those industries which meet its criteria.

Keywords: Firm Scale; Size Class; Survival of Scale; Minimum and Maximum Efficient Scales

About the article

Published Online: 2003-11-04


Citation Information: Topics in Economic Analysis & Policy, Volume 3, Issue 1, ISSN (Online) 1538-0653, DOI: https://doi.org/10.2202/1538-0653.1081.

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[1]
John Howard Brown
Review of Industrial Organization, 2018
[2]
James N. Giordano
Managerial and Decision Economics, 2008, Volume 29, Number 4, Page 357
[3]
Don Cyr, Joseph Kushner, and Tomson Ogwang
International Journal of Wine Business Research, 2012, Volume 24, Number 1, Page 6

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