Size Distributions for All Cities: Which One is Best?
Rafael González-Val (),
Fernando Sanz and
MPRA Paper from University Library of Munich, Germany
This paper analyses in detail the features offered by three distributions used in urban economics to describe city size distributions: lognormal, q-exponential and double Pareto lognormal, and another one of use in other areas of economics: the log-logistic. We use a large database which covers all cities with no size restriction in the US, Spain and Italy from 1900 until 2010, and, in addition, the last available year for the rest of the countries of the OECD. We estimate the previous four density functions by maximum likelihood. To check the goodness of the fit in all periods and for the thirty-four countries we use the Kolmogorov-Smirnov and Cramér-von Mises tests, and compute the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). The results show that the distribution which best fits the data in most of the cases (86.76%) is the double Pareto lognormal.
Keywords: city size distribution; double Pareto lognormal; log-logistic; q-exponential; lognormal (search for similar items in EconPapers)
JEL-codes: C16 C13 R00 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15) Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/44314/1/MPRA_paper_44314.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/45019/1/MPRA_paper_45019.pdf revised version (application/pdf)
Journal Article: Size distributions for all cities: Which one is best? (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:44314
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().