On the Rank‐Size Distribution for Human Settlements

By W. Reed. 2002

195 citations recorded by the source corpus.

Subfields: Building and Construction, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/161689bb3cad100e632e7886c6e45183b066ecbc

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Citations in the corpus

A Unified Theory of Firm Selection and Growth (2009, unknown): “…the same in all markets and evolves, independently across ideas, according to ztb;a = zi exp gEt b + gIa+ zWa , (3) 9Extending this simple case to one in which new entrants arrive with di¤erent productivities drawn from a non-atomic distribution is straightforward (see, for example, Reed (2002)).”
CENTRAL PLACE T HEORY A ND CITY SIZE DISTRIBUTION (2012, unknown): “See also Krugman (1996), Brakman, Garretsen, and van den Berg (1999), Reed (2002) , and Reed and Huges (2002).”
City Age and City Size (2014, methodology): “Our suggested functional form for the overall CSD is the DPLN distribution, which has been first introduced by Reed (2002) and is further discussed by Reed and Jorgensen (2005).”
Size distributions for all cities: Which one is best? (2013, methodology): “The lognormal distribution has been considered for many years to study city size (see Richardson, 1973, and references therein). More recently, Eeckhout (2004) estimates the lognormal distribution, with no truncation point, to study city size in the US.”
Firm Size Distribution under Horizontal and Vertical R&D (2010, background): “Fat lower tails have been apparently overlooked by the literature on rm size but have been reported by empirical studies on income and city size distributions (see Reed, 2002, 2003).”
The Evolution of City Size Distributions (2004, background): “Reed (2001; 2002) and Reed and Hughes (2002) advocate an interesting variant of the random growth process.”
The beta-Pareto distribution (2008, background): “The family of the Pareto distribution is well known in the literature for its capability in modelling the heavy-tailed distributions that are mostly common in data on income distribution [1], city population size [2,3], and size of firms [4, p.”
US city size distribution: Robustly Pareto, but only in the tail (2013, methodology): “This model, reported by Reed (2002) [see also Reed and Jorgensen (2005)], is obtained from a “pure" Gibrat’s law with constant mean and instantaneous variance by sampling it at exponentially distributed times.”
The Pareto, Zipf and other power laws (2001, background): “In this case current incomes can be represented as the product of a double Pareto random variable with an independent lognormal random variable, and will exhibit power law behaviour in both tails (for details see Reed, 2000 a).”