Gibrat’s law for cities, growth regressions and sample size

Rafael González-Val, Luis Lanaspa () and Fernando Sanz

MPRA Paper from University Library of Munich, Germany

Abstract: This paper uses un-truncated city population data from six countries (the United States, Spain, Italy, France, England and Japan) to illustrate how parametric growth regressions can lead to biased results when testing for Gibrat’s law in city size distributions. The OLS results show non-monotonic behaviours depending on the sample size. Moreover, it is possible to find a critical sample size from which we reject Gibrat’s law.

Keywords: Gibrat’s law; city size distribution; urban growth (search for similar items in EconPapers)
JEL-codes: R00 R11 R12 (search for similar items in EconPapers)
Date: 2012-11
New Economics Papers: this item is included in nep-fdg, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Gibrat’s law for cities, growth regressions and sample size (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:42615

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