Obtaining Better Sustainability Data for Hedonic Analysis

Ramya Rajajagadeesan Aroul and Mauricio Rodriguez

Journal of Real Estate Literature, 2017, vol. 25, issue 2, 427-443

Abstract: Home buyers and policymakers are becoming more conscious about the benefits that green building features can provide society. This has led to the adoption of green building and sustainable design and construction programs in a growing number of cities in the United States. In this paper, we describe the types of data typically available for capturing green features in residential research, which can be used in hedonic pricing models. We describe how GIS technology and a jurisdiction’s mandatory policies can be used to obtain reliable green data. We demonstrate how to combine data on sustainability-related amenities to capture the association between green features and house prices. Following our suggestions should help researchers avoid making erroneous inferences and lead to more reliable estimates of how green amenities are associated with residential home transaction prices.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.2017.12090466 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rjelxx:v:25:y:2017:i:2:p:427-443

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjel20

DOI: 10.1080/10835547.2017.12090466

Access Statistics for this article

Journal of Real Estate Literature is currently edited by Sophia Dermisi and Kimberly Winson

More articles in Journal of Real Estate Literature from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().