Zipf's law for cities: a cross-country investigation
By K. Soo. 2005
528 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/df8c607e9b80571ea14173eda07d3c7b2ff66ee3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Rafael González‐Val
- Samuel Bazzi
- Xavier Gabaix
- Yannis M. Ioannides
- F. Sanz-Gracia
- María Vera-Cabello
- Christopher Small
- Arturo Ramos
Citations in the corpus
- The Area and Population of Cities: New Insights from a Different Perspective on Cities (2010, unknown): “In addition the distribution of city areas is also close to a Zipf’s law.”
- A Century of Shocks: The Evolution of the German City Size Distribution 1925-1999 (2008, unknown): “The empirical literature has mainly focused on a special case of such a power law, namely that of city sizes in the upper tail of the distribution being distributed Pareto with coefficient a=1.12 This empirical regularity is better known as Zipf’s Law (see Zipf,1949) and has been found to hold appro”
- Rebalancing the Spatial Economy: The Challenge for Regional Theory (2015, background): “(GABAIX, p.756, emphasis added) The fact of the matter is that the evidence for Zipf’s Law is weak in general (Soo, 2005).”
- The Number Average Size Rule: A New Empirical Relationship between Industrial Location and City Size (2008, unknown): “, Black and Henderson[3], Gabaix and Ioannides[22] and Soo [49]), it remains as a useful benchmark to describe the size distribution of cities (see Gabaix [21] and Duranton [10] for further discussion).”
- The Evolution of City Size Distributions (2004, background): “Rosen and Resnick (1980), Brakman et al. (2001) and Soo (2003) are the most complete empirical international comparative studies.”
- CENTRAL PLACE T HEORY A ND CITY SIZE DISTRIBUTION (2012, unknown): “14 Note that a < 1/2 is not a bad restriction for city size distribution, as we rarely observe tail indices of <1/2 in city size data; see Soo (2005).”
- The city size distribution debate: Resolution for US urban regions and megalopolitan areas (2012, unknown): “A recent example is Soo (2005).”
- The statistical physics of cities (2019, background): “In this model, the exponent κ is not universal and depends on the details of the system, providing a possible explanation for the diversity of values observed empirically [16].”