A Nonparametric Estimation of the Local Zipf Exponent for all US Cities
AbstractIn this short paper we apply the methodology proposed by Ioannides and Overman (2003) to estimate a local Zipf exponent using data for the entire twentieth century of the complete distribution of cities (incorporated places) without any size restrictions in the US. The results reject Zipf’s Law from a long term perspective, as the estimated values are close to zero. However, decade by decade we find evidence in favour of Zipf’s Law. We also see how periods in which the Zipf exponent grows with city size are interspersed with others in which the relationship between the exponent and city shares is negative.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 26720.
Date of creation: 15 Nov 2010
Date of revision:
Zipf’s Law; Gibrat’s Law; urban growth;
Other versions of this item:
- Rafael González-Val, 2012. "A nonparametric estimation of the local Zipf exponent for all US cities," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 39(6), pages 1119-1130, November.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-11-27 (All new papers)
- NEP-GEO-2010-11-27 (Economic Geography)
- NEP-URE-2010-11-27 (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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Discussion Papers Series, Department of Economics, Tufts University
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