Buildings' Energy Efficiency and the Probability of Mortgage Default: The Dutch Case
Monica Billio,
Michele Costola (),
Loriana Pelizzon () and
Max Riedel
Additional contact information
Michele Costola: Department of Economics, Ca' Foscari University of Venice
No 2020:06, Working Papers from Department of Economics, University of Venice "Ca' Foscari"
Abstract:
We investigate the relation between buildings' energy efficiency and the probability of mortgage default. To this end, we construct a novel panel dataset by combining Dutch loan-level mortgage information with provisional building energy ratings that are provided by the Netherlands Enterprise Agency. By employing the logistic regression and the extended Cox model, we find that buildings' energy efficiency is associated with lower likelihood of mortgage default. We also show that energy efficiency provides a further mitigation of default risk for borrowers with a lower income potentially because of the savings coming from lower utility bills, which have a major impact on the borrower with less disposable income. The results hold for a battery of robustness checks.
Keywords: Mortgages; Energy Efficiency; Credit Risk (search for similar items in EconPapers)
JEL-codes: G21 (search for similar items in EconPapers)
Pages: 43 pages
Date: 2020
New Economics Papers: this item is included in nep-ene, nep-eur and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.unive.it/web/fileadmin/user_upload/dip ... zon_riedel_06_20.pdf First version, anno (application/pdf)
Related works:
Journal Article: Buildings’ Energy Efficiency and the Probability of Mortgage Default: The Dutch Case (2022) 
Working Paper: Buildings' energy efficiency and the probability of mortgage default: The Dutch case (2019) 
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:ven:wpaper:2020:06
Access Statistics for this paper
More papers in Working Papers from Department of Economics, University of Venice "Ca' Foscari" Contact information at EDIRC.
Bibliographic data for series maintained by Sassano Sonia ().