Growth Process of U. S. Small Cities

Stephen Devadoss; J. Luckstead

Growth Process of U. S. Small Cities

Agricultural and Applied Economics

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English
Pages (from-to)	12-14
Journal	Economics Letters
State	Published - Jan 2016

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title = "Growth Process of U. S. Small Cities",

abstract = "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{\textquoteright}s law hold for small cities.",

author = "Stephen Devadoss and J. Luckstead",

year = "2016",

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language = "English",

pages = "12--14",

journal = "Economics Letters",

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AU - Luckstead, J.

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N2 - 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.

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M3 - Article

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JO - Economics Letters

JF - Economics Letters

ER -

Growth Process of U. S. Small Cities

Abstract

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