Gibrat’s law for cities, growth regressions and sample size
Rafael González-Val (),
Luis Lanaspa () and
MPRA Paper from University Library of Munich, Germany
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 R12 R11 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-fdg, nep-geo and nep-ure
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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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