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 InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 42615.
Date of creation: Nov 2012
Date of revision:
Gibrat’s law; city size distribution; urban growth;
Other versions of this item:
- González-Val, Rafael & Lanaspa, Luis & Sanz-Gracia, Fernando, 2013. "Gibrat’s law for cities, growth regressions and sample size," Economics Letters, Elsevier, vol. 118(2), pages 367-369.
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-12-06 (All new papers)
- NEP-FDG-2012-12-06 (Financial Development & Growth)
- NEP-GEO-2012-12-06 (Economic Geography)
- NEP-URE-2012-12-06 (Urban & Real Estate Economics)
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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