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Household debt burden and financial vulnerability in Luxembourg

In: Data needs and Statistics compilation for macroprudential analysis

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  • Gaston Giordana
  • Michael Ziegelmeyer

Abstract

We construct debt burden indicators at the level of individual households and calculate the share of households that are financially vulnerable using Luxembourg survey data collected in 2010 and 2014. The share of households that were indebted declined from 58.3% in 2010 to 54.6% in 2014, but the median level of debt (among indebted households) increased by 22% to reach € 89,800. This suggests that indebted households in 2014 carried a heavier burden than indebted households in 2010. However, among several debt burden indicators considered, only the debt-to-income ratio and the loan-to-value ratio of the outstanding stock registered a statistically significant increase. The median debt service-to-income ratio actually declined, mainly reflecting lower costs on non-mortgage debt. Using conventional thresholds to identify financially vulnerable households, we find that their share in the population of indebted households increased, although the change was only statistically significant when measured by the debt-to-income ratio. The different indicators of debt burden and financial vulnerability are highly correlated with several socio-economic characteristics, including age, gross income and net wealth. In particular, low income households have lower leverage and disadvantaged socio-economic groups (in terms of education, employment status and homeownership status) tend to be less financially vulnerable. However, after controlling for other factors, low income or low wealth increase the probability of being identified as vulnerable.
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Suggested Citation

  • Gaston Giordana & Michael Ziegelmeyer, 2017. "Household debt burden and financial vulnerability in Luxembourg," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.
    • Handle: RePEc:bis:bisifc:46-16
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    References listed on IDEAS

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    Cited by:

    1. Gaston Giordana & Michael Ziegelmeyer, 2024. "Using household-level data to guide borrower-based macro-prudential policy," Empirical Economics, Springer, vol. 66(2), pages 785-827, February.
    2. Nicolas Albacete & Pirmin Fessler & Peter Lindner, 2018. "One policy to rule them all? On the effectiveness of LTV, DTI and DSTI ratio limits as macroprudential policy tools," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 35, pages 67-83.
    3. Giordana, Gastón & Ziegelmeyer, Michael, 2020. "Stress testing household balance sheets in Luxembourg," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 115-138.
    4. François Koulischer & Pauline Perray & Thi Thu Huyen Tran, 2022. "COVID-19 and the Mortgage Market in Luxembourg," JRFM, MDPI, vol. 15(3), pages 1-24, March.
    5. Yiwen Chen & Thomas Y. Mathä & Giuseppe Pulina & Barbara Schuster & Michael Ziegelmeyer, 2020. "The Luxembourg Household Finance Consumption Survey: Results from the third wave," BCL working papers 142, Central Bank of Luxembourg.
    6. Gaston Giordana & Michael H. Ziegelmeyer, 2023. "Household indebtedness and their vulnerability to rising interest rates," BCL working papers 173, Central Bank of Luxembourg.

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    More about this item

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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