Determinants of New Housing Prices in Bogotá for 2019: an Approach Through a Semiparametric Spatial Regression Model
This document uses the recent advances in the field of spatial econometrics to develop a semi-parametric regression model that allows the inclusion of non-linearities and the modeling of spatial heterogeneity through a two-dimensional function that depends on geographic coordinates. The methodology...
- Autores:
-
Tolaza-Delgado, Jurgen
Melo-Martínez, Oscar
Azcarate-Romero, Juan
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/31018
- Acceso en línea:
- http://hdl.handle.net/10784/31018
- Palabra clave:
- Hedonic models
spatial econometrics
housing price
semiparametric regression
Modelos hedónicos
Econometría espacial
Precios de vivienda
regresión semiparamétrica
- Rights
- License
- Copyright © 2021 Jurgen Toloza-Delgado, Oscar Melo-Martínez, Juan Azcarate-Romero