Parametric, semiparametric and nonparametric models of urban growth

González Val, Rafael (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1016/j.cities.2022.104079

Año: 2023

Publicado en: Cities 132 (2023), 104079 [10 pp]
ISSN: 0264-2751

Factor impacto JCR: 6.0 (2023)

Categ. JCR: URBAN STUDIES rank: 5 / 77 = 0.065 (2023) - Q1 - T1

Factor impacto CITESCORE: 11.2 - Tourism, Leisure and Hospitality Management (Q1) - Urban Studies (Q1) - Sociology and Political Science (Q1) - Development (Q1)

Factor impacto SCIMAGO: 1.733 - Development (Q1) - Urban Studies (Q1) - Tourism, Leisure and Hospitality Management (Q1) - Sociology and Political Science (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/S39-20R
Financiación: info:eu-repo/grantAgreement/ES/ MICINN/ECO2017-82246-P
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2020-114354RA-I00

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Fund. Análisis Económico (Dpto. Análisis Económico)