Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices

The analysis of externalities in real state has been matter of study during the past few years. In this paper we use both conventional and spatial econometric model, as well as geographically weighted regression models, to measure the effect of the San Javier Metro Station (in Medellín, Colombia) on...

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Autores:

Duque, Juan Carlos
Velásquez Ceballos, Hermilson
Agudelo, Jorge

Tipo de recurso:

Fecha de publicación:

2020

Institución:

Universidad EAFIT

Repositorio:

Repositorio EAFIT

Idioma:

spa

OAI Identifier:

oai:repository.eafit.edu.co:10784/15499

Acceso en línea:

http://hdl.handle.net/10784/15499

Palabra clave:

C21
O18
R32
Real state
GWR
Geographically Weighted Regression
Hedonic prices
Metro station
Sector Inmobiliario
GWR
Regresión Geográficamente Ponderada
Metro de Medellín
Precios hedónicos

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Copyright (c) 2011 Juan Carlos Duque, Hermilson Velásquez Ceballos, Jorge Agudelo