Spatial Estimation of the Impact of Airport Noise on Residential Housing Prices

Пространственная оценка влияния авиационного шума на цены жилой недвижимости
Marco Salvi
2008-01-11

Noise Discount IndexZurich Airportairport noisehousing pricesspatial econometrics
Summary The paper applies spatial econometric techniques to measure the impact of airport noise on the price of single-family homes in the Zurich Airport area. We exploit a large database of geo-referenced noise measurements to investigate the reaction of prices to different noise metrics. The particular institutional setting of Zurich Airport, with changing patterns of runways configurations allows to distinguish the impact of noise at different times of the day. The use of neighborhood fixed-effects is compared to the results given by a costlier modelling strategy involving a rich set of location descriptors. The paper documents the impact of airport noise on housing prices. In the base model specification the Noise Discount Index is 0.97% with typical discounts in the range of −2% to −8%. Accounting for the spatiality of the data has little effect on the results.
1
A large geo-referenced noise database enables comparison of housing-price responses to different noise metrics.
2
Accounting explicitly for spatial dependence has little effect on the estimated noise impacts; neighborhood fixed effects provide comparable results to richer location models.
3
Changing runway configurations help identify noise effects occurring at different times of day.
4
Spatial econometric analysis quantifies how airport noise affects prices of single-family homes around Zurich Airport.
5
The estimated Noise Discount Index is 0.97%, with typical noise-related housing discounts ranging from −2% to −8%.

single-family homes in the Zurich Airport area

the impact of airport noise, measured using different noise metrics and at different times of day, on residential housing prices

Publication Details
Publication Date
2008-01-11
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Marco Salvi
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%