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Determinants of mortgage arrears in Europe: evidence from household microdata

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  • Petra Gerlach-Kristen
  • Seán Lyons

Abstract

In purely economic terms, mortgage arrears can pose a risk to the stability of banks and limit households’ future access to credit. Moreover, arrears have social ramifications: they reduce aspects of households’ well-being and health, and addressing such negative effects can lead to a requirement for higher social spending by governments. It is therefore important to identify the drivers of arrears and design policies to reduce them. We use a European household data-set to analyse what drives arrears. Controlling for household characteristics such as age and education, we find that affordability problems, such as unemployment, low income and high mortgage payments, matter. Households facing the dual trigger of affordability problems and negative equity are more likely to go into longer- term arrears. We also find that households in Cyprus and Greece are particularly prone to miss mortgage payments, while those in the United Kingdom and Belgium are very unlikely to do so. Generally, arrears tend to be higher in poor countries and where investors’ rights are poorly protected.

Suggested Citation

  • Petra Gerlach-Kristen & Seán Lyons, 2018. "Determinants of mortgage arrears in Europe: evidence from household microdata," International Journal of Housing Policy, Taylor & Francis Journals, vol. 18(4), pages 545-567, October.
  • Handle: RePEc:taf:intjhp:v:18:y:2018:i:4:p:545-567
    DOI: 10.1080/19491247.2017.1357398
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    Cited by:

    1. Savvas Antoniou & Ioanna Evangelou & Theodosis Kallenos & Nektarios A. Michail, 2022. "Estimating the Mortgage Default Probability in Cyprus: Evidence using micro data," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 16(1), pages 37-49, June.
    2. Tomáš Želinský & Martina Mysíková & Thesia I. Garner, 2022. "Trends in Subjective Income Poverty Rates in the European Union," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2493-2516, October.
    3. Yosi Borochov & Boris A. Portnov, 2021. "Estimating Environmentally Adjusted Risks of Mortgage Arrears for Different Socioeconomic Groups of Borrowers," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 595-620.
    4. Agnese Carella & Federica Ciocchetta & Valentina Michelangeli & Federico Maria Signoretti, 2020. "What can we learn about mortgage supply from online data?," Questioni di Economia e Finanza (Occasional Papers) 583, Bank of Italy, Economic Research and International Relations Area.
    5. Leo Haan & Mauro Mastrogiacomo, 2020. "Loan to Value Caps and Government-Backed Mortgage Insurance: Loan-Level Evidence from Dutch Residential Mortgages," De Economist, Springer, vol. 168(4), pages 453-473, December.
    6. Schleich, Joachim & Gassmann, Xavier & Meissner, Thomas & Faure, Corinne, 2023. "Making the factors underlying the implicit discount rate tangible," Energy Policy, Elsevier, vol. 177(C).
    7. Leo Haan & Mauro Mastrogiacomo, 2020. "Loan to Value Caps and Government-Backed Mortgage Insurance: Loan-Level Evidence from Dutch Residential Mortgages," De Economist, Springer, vol. 168(4), pages 453-473, December.
    8. Kristin Aarland & Anna Maria Santiago, 2023. "Serious Mortgage Arrears among Immigrant Descendant and Native Participants in a Low-Income Public Starter Mortgage Program: Evidence from Norway," Societies, MDPI, vol. 13(5), pages 1-28, May.

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