Explaining the size distribution of cities: Extreme economies

DOI10.3982/QE42zbMath1396.91389OpenAlexW3023182077MaRDI QIDQ4586244

Hiroki Watanabe, Marcus Berliant

Publication date: 12 September 2018

Published in: Quantitative Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3982/qe42

zbMATH Keywords

extreme value theoryGibrat's lawZipf's lawsize distribution of cities

Mathematics Subject Classification ID

Related Items (2)

A theory of heterogeneous city growth ⋮ Size of nested cities

Uses Software

• ismev

Cites Work

• Unnamed Item
• Mean convergence theorems and weak laws of large numbers for weighted sums of random variables under a condition of weighted integrability
• The Granular Origins of Aggregate Fluctuations
• Zipf's Law for Cities: An Explanation
• Urban Structure and Growth
• Technology, Geography, and Trade
• An introduction to statistical modeling of extreme values

This page was built for publication: Explaining the size distribution of cities: Extreme economies