Power law distributions, also known as heavy tail distributions, model distinct real life
phenomena in the areas of biology, demography, computer science, economics, information …

Zipf's law is a very tight constraint on the class of admissible models of local growth. It says
that for most countries the size distribution of cities strikingly fits a power law: the number of …

本文设计了一个用于城市系统中城市增长分布模拟的地理模型. 该模型从等级结构以及空间融合
视角对一组城市间重力相互作用与创新周期进行整合. 理论模拟显示, 该模型可以重现城市系统 …

Despite the availability of more sophisticated methods, a popular way to estimate a Pareto
exponent is still to run an OLS regression: log (Rank)= a− b log (Size), and take b as an …

We review the accumulated knowledge on city size distributions and determinants of urban
growth. This topic is of interest because of a number of key stylized facts, including notably …

We extend the basic Schumpeterian endogenous growth model by allowing incumbents to
undertake innovations to improve their products, while entrants engage in more “radical” …

This paper assesses the empirical validity of Zipf's Law for cities, using new data on 73
countries and two estimation methods—OLS and the Hill estimator. With either estimator, we …

On a sustained basis, cities are of non-uniform relative sizes. This paper addresses three
basic issues which arise from this simple observation by examining the size distribution of …

This article presents an overview of the recent development in the new economic geography
(NEG), and discusses possible directions of its future development. Since several surveys …

With the use of French and US data, new and systematic evidence is provided about the
rapid location changes of industries across cities (the fast). Cities are also slowly moving up …