打印

作者

Rafael González-Val

来源

CITIES,Vol.133,Issue1,Article 104079

语言

英文

关键字

C12;C14;R11;Urban growth;Gibrat's law;Parametric models;Semiparametric models;Nonparametric models

作者单位

Departamento de Análisis Económico, Universidad de Zaragoza, Facultad de Economía y Empresa, Gran Vía 2, 50005 Zaragoza, Spain;Institut d'Economia de Barcelona (IEB), Facultat d’Economia i Empresa, Universitat de Barcelona, John M. Keynes 1-11, 08034 Barcelona, Spain;Departamento de Análisis Económico, Universidad de Zaragoza, Facultad de Economía y Empresa, Gran Vía 2, 50005 Zaragoza, Spain;Institut d'Economia de Barcelona (IEB), Facultat d’Economia i Empresa, Universitat de Barcelona, John M. Keynes 1-11, 08034 Barcelona, Spain

摘要

This paper discusses parametric, nonparametric, and semiparametric models of urban growth. To illustrate differences across approaches, we test Gibrat's law in the long run, using the three methods and three different datasets: Spanish capital cities and regions (1900–2011, annual data) and US MSAs (1900–2000, decennial data). Our results reveal that the estimation of the relationship between growth and initial size can significantly vary across methods. We suggest and encourage the use of semiparametric methods in future research of urban growth.