Geostatistical Air Pollution Indexes in Spatial Hedonic Models: The Case of Madrid, Spain

Recent work has shown how spatial econometrics can be applied to a housing-value hedonic equation that includes air pollution variables. This paper develops a Spatial Durbin Model that incorporates an Air Pollution Index, instead of one or two pollution variables, and considers spatial and non-spati...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of real estate research 2012-04, Vol.34 (2), p.243-274
Main Authors: Fernández-Avilés, Gema, Mínguez, Román, Montero, José-María
Format: Article
Language:English
Subjects:
Air pollutants
Air pollution
Air quality
Application programming interfaces
Case studies
Cities
Econometrics
Endogenous
Houses
Housing
Housing prices
Indexes
Kriging
Mortgage loans
Outdoor air quality
Pollutants
Pollution monitoring
Property values
Real estate appraisal
Smog
Spatial models
Studies
Variables
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Recent work has shown how spatial econometrics can be applied to a housing-value hedonic equation that includes air pollution variables. This paper develops a Spatial Durbin Model that incorporates an Air Pollution Index, instead of one or two pollution variables, and considers spatial and non-spatial endogeneity jointly. Exogenous and endogenous possibilities are considered for the index. The empirical analysis focuses on a European city, Madrid. A massive database was constructed for the analysis in 2009 that includes almost 12,000 dwellings.
ISSN:0896-5803
2691-1175
DOI:10.1080/10835547.2012.12091330