Size distribution of U.S. lower tail cities

Stephen Devadoss and Jeff Luckstead

Physica A: Statistical Mechanics and its Applications, 2016, vol. 444, issue C, 158-162

Abstract: Studies that analyzed the size distribution of U.S. cities have mainly focused on the upper tail and showed that these cities adhere to Zipf’s law. However, even though a large number of cities are in the lower tail, very few studies have examined the distribution of these small cities because of data limitations. We apply reverse Pareto and reverse general Pareto distributions to analyze U.S. lower tail cities. Our results show the power law behavior of lower tail U.S. cities is accurately represented by both the reverse Pareto and general Pareto.

Keywords: Lower tail cities; Reverse Pareto; Size distribution; United States (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437115008134
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:444:y:2016:i:c:p:158-162

DOI: 10.1016/j.physa.2015.09.077

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().