Growth process of U.S. small cities

Stephen Devadoss, Jeff Luckstead

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


This study analyzes the growth process of lower tail small U.S. cities for 2000 and 2010 census data using stochastic kernel, contour plot, and nonparametric regression. The results show that Gibrat's law hold for small cities.

Original languageEnglish
Pages (from-to)12-14
Number of pages3
JournalEconomics Letters
StatePublished - Oct 1 2015


  • Gibrat's law
  • Growth process
  • Lower tail
  • United States

Fingerprint Dive into the research topics of 'Growth process of U.S. small cities'. Together they form a unique fingerprint.

Cite this