Gibrat’s law for cities, growth regressions and sample size
AbstractThis 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.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 118 (2013)
Issue (Month): 2 ()
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Web page: http://www.elsevier.com/locate/ecolet
Gibrat’s law; City size distribution; Urban growth;
Other versions of this item:
- González-Val, Rafael & Lanaspa, Luis & Sanz, Fernando, 2012. "Gibrat’s law for cities, growth regressions and sample size," MPRA Paper 42615, University Library of Munich, Germany.
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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