eprintid: 1652
rev_number: 9
eprint_status: archive
userid: 6
dir: disk0/00/00/16/52
datestamp: 2013-08-05 08:44:36
lastmod: 2013-08-05 08:44:36
status_changed: 2013-08-05 08:44:36
type: article
metadata_visibility: show
creators_name: Bee, Marco
creators_name: Riccaboni, Massimo
creators_name: Schiavo, Stefano
creators_id: 
creators_id: massimo.riccaboni@imtlucca.it
creators_id: 
title: The size distribution of US cities: Not Pareto, even in the tail 
ispublished: pub
subjects: F001
subjects: HB
divisions: EIC
full_text_status: none
keywords: JEL classification: C14; D30; R12; R23  -   Keywords: City size distribution; Zipf distribution; Power-law; Lognormal distribution;
    Maximum entropy
abstract: Abstract We question the claim that the largest {US} cities are Pareto distributed. We show that results of multiple tests on real data are similar to those obtained when the true distribution is lognormal, and largely depend on sample sizes. 
date: 2013-08
date_type: published
publication: Economics Letters
volume: 120
number: 2
publisher: Elsevier
pagerange: 232 - 237
id_number: 10.1016/j.econlet.2013.04.035
refereed: TRUE
issn: 0165-1765
official_url: http://www.sciencedirect.com/science/article/pii/S0165176513002139
citation:   Bee, Marco and Riccaboni, Massimo and Schiavo, Stefano  The size distribution of US cities: Not Pareto, even in the tail.  Economics Letters, 120 (2).  232 - 237.  ISSN 0165-1765      (2013)