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Buildings’ Energy Efficiency and the Probability of Mortgage Default: The Dutch Case

Author

Listed:
  • Monica Billio

    (Ca’ Foscari University of Venice)

  • Michele Costola

    (Ca’ Foscari University of Venice)

  • Loriana Pelizzon

    (Ca’ Foscari University of Venice
    Goethe University Frankfurt)

  • Max Riedel

    (Ca’ Foscari University of Venice)

Abstract

We investigate the relationship between building energy efficiency and the probability of mortgage default. To this end, we construct a novel panel data set by combining Dutch loan-level mortgage information with provisional building energy ratings provided by the Netherlands Enterprise Agency. Using the logit regression and the extended Cox model, we find that building energy efficiency is associated with a lower probability of mortgage default. There are three possible channels that might drive the results: (i) personal borrower characteristics captured by the choice of an energy-efficient building, (ii) improvements in building performance that could help to free-up the borrower’s disposable income, and (iii) improvements in dwelling value that lower the loan-to-value ratio. We address all three channels. In particular, we find that the default rate is lower for borrowers with less disposable income. The results hold for a battery of robustness checks. This suggests that the energy efficiency ratings complement borrowers’ credit information and that a lender using information from both sources can make superior lending decisions than a lender using only traditional credit information. These aspects are not only crucial for shaping future energy policy, but also have implications for the risk management of European financial institutions.

Suggested Citation

  • Monica Billio & Michele Costola & Loriana Pelizzon & Max Riedel, 2022. "Buildings’ Energy Efficiency and the Probability of Mortgage Default: The Dutch Case," The Journal of Real Estate Finance and Economics, Springer, vol. 65(3), pages 419-450, October.
  • Handle: RePEc:kap:jrefec:v:65:y:2022:i:3:d:10.1007_s11146-021-09838-0
    DOI: 10.1007/s11146-021-09838-0
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    Cited by:

    1. Justin Contat & Carrie Hopkins & Luis Mejia & Matthew Suandi, 2024. "When climate meets real estate: A survey of the literature," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 52(3), pages 618-659, May.
    2. Billio, Monica & Casarin, Roberto & Costola, Michele & Veggente, Veronica, 2024. "Learning from experts: Energy efficiency in residential buildings," Energy Economics, Elsevier, vol. 136(C).
    3. Giraudet, Louis-Gaëtan & Petronevich, Anna & Faucheux, Laurent, 2021. "Differentiated green loans," Energy Policy, Elsevier, vol. 149(C).
    4. Gróf, Gyula & Várgedő, Bálint & Sárvári, Balázs, 2024. "Az energiahatékonyság szerepe a jelzáloghitelek csődvalószínűségében és a tőkekövetelmények meghatározásában [The role of mortgage energy efficiency in the probability of default and in determining," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 653-670.

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    More about this item

    Keywords

    Mortgages; Energy efficiency; Green building; Credit risk;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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