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Physica A Statistical Mechanics and its Applications
Article . 2019 . Peer-reviewed
License: Elsevier TDM
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Article . 2019
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Concluding Gibrat’s law with Turkish firm data

Authors: Aydoğan, Yiğit; Döndüran, Murat;

Concluding Gibrat’s law with Turkish firm data

Abstract

Abstract In this study, the validity of the Gibrat’s Law, i.e. the Law of the Proportionate Effect, is tested using a balanced panel of nearly one million firms in Turkey between 2005–2016. A random parameters model is considered to make use of the heterogeneity of individual firms. Unlike the somehow weak results of the rejecting studies from the literature, Gibrat’s Law is strongly rejected with the random slope and random intercept model utilizing a complete dataset. Employing the distributional properties of firms and modified Gibrat’s Law, which is being used to justify the recent revival of the Law in the literature, did not alter the result.

Country
Turkey
Keywords

Law of the proportionate effect, Random parameters model, Mixed effects estimation, Gibrat's law

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green