IDEAS home Printed from https://ideas.repec.org/a/onb/oenbfi/y2015i2b2.html
   My bibliography  Save this article

What can we learn from Eurosystem Household Finance and Consumption Survey data? – An application to household debt in Slovakia

Author

Listed:
  • Pirmin Fessler

    (Oesterreichische Nationalbank, Economic Analysis Division)

  • Krisztina Jäger-Gyovai

Abstract

This study delivers a stock-taking exercise of household debt in Slovakia. About 27% of all Slovak households hold at least some debt. The rate of homeownership in Slovakia is close to 90% and the highest in the euro area, while the share of indebted households is lowest. The reason for this peculiarity lies in the country’s history. Less than 10% of households are mortgage debt holders, and about 20% hold nonmortgage debt. About 15% of total debt holdings are covered by liquid financial assets and about 50% by households’ total assets excluding the main residence. When accounting only for the debt of vulnerable households, the share of total debt not covered by households’ total assets excluding the main residence lies between about 4% and 15% – depending on the definition used for debt burden measures. In Slovakia, mostly households with relatively young household heads are indebted. Regression analyses show that while self-employed persons and persons with higher education are more likely to hold debt, especially the self-employed are less likely to be vulnerable.

Suggested Citation

  • Pirmin Fessler & Krisztina Jäger-Gyovai, 2015. "What can we learn from Eurosystem Household Finance and Consumption Survey data? – An application to household debt in Slovakia," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 76-87.
  • Handle: RePEc:onb:oenbfi:y:2015:i:2:b:2
    as

    Download full text from publisher

    File URL: https://www.oenb.at/dam/jcr:dd574215-20f4-4a10-bd51-d81d72c58546/feei_2015_q2_studies_fessler.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicolas Albacete & Pirmin Fessler, 2010. "Stress Testing Austrian Households," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 19, pages 72-91.
    2. Nicolas Albacete & Peter Lindner, 2013. "Household Vulnerability in Austria – A Microeconomic Analysis Based on the Household Finance and Consumption Survey," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 25, pages 57-73.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kacper Grejcz & Zbigniew Żółkiewski, 2017. "Household wealth in Poland: the results of a new survey of household finance," Bank i Kredyt, Narodowy Bank Polski, vol. 48(3), pages 295-326.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Hosung Jung & Hyun Hak Kim, 2020. "Default Probability by Employment Status in South Korea," Asian Economic Papers, MIT Press, vol. 19(3), pages 62-84, Fall.
    3. Simona Malovaná & Michal Hlaváček & Kamil Galuščák, 2018. "Citlivost českých domácností na úrokový a příjmový šok. Aplikace na mikroúdajích [Sensitivity of Czech Households to Interest Rate and Income Shock. Applications on Microdata]," Politická ekonomie, Prague University of Economics and Business, vol. 2018(5), pages 531-549.
    4. Nicolas Albacete & Pirmin Fessler & Maximilian Propst, 2020. "Mapping financial vulnerability in CESEE: understanding risk-bearing capacities of households is key in times of crisis," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 39, pages 71-87.
    5. Aleksandra Riedl, 2021. "Are CESEE borrowers at risk? COVID-19 implications in a stress test analysis," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/21, pages 37-53.
    6. 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.
    7. Nicolas Albacete & Peter Lindner, 2017. "Simulating the impact of borrower-based macroprudential policies on mortgages and the real estate sector in Austria – evidence from the Household Finance and Consumption Survey 2014," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 33, pages 52-68.
    8. Pirmin Fessler & Emanuel List & Teresa Messner, 2017. "How financially vulnerable are CESEE households? An Austrian perspective on its neighbors," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 58-79.
    9. Alessandra Bettocchi & Elena Giarda & Cristiana Moriconi & Federica Orsini & Rita Romeo, 2018. "Assessing and predicting financial vulnerability of Italian households: a micro-macro approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(3), pages 587-605, August.
    10. Nicolas Albacete & Judith Eidenberger & Gerald Krenn & Peter Lindner & Michael Sigmund, 2014. "Risk-Bearing Capacity of Households – Linking Micro-Level Data to the Macroprudential Toolkit," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 27, pages 95-110.
    11. Ludmila Fadejeva & Janis Lapins & Liva Zorgenfreija, 2018. "Results of the Household Finance and Consumption Survey in Latvia," Discussion Papers 2018/01, Latvijas Banka.
    12. Catalin DUMITRESCU, 2020. "Financial Stability Of Economic Agencies In Conditions Of Economic Crisis," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 57(1), pages 22-33, March.
    13. Ivana Herceg & Danijel Nestić, 2012. "A New Cluster-Based Financial Vulnerability Indicator: The Analytical Concept and its Application for Stress Testing in a Post-Socialist Economy," wiiw Balkan Observatory Working Papers 100, The Vienna Institute for International Economic Studies, wiiw.
    14. Ampudia, Miguel & Pavlickova, Akmaral & Slacalek, Jiri & Vogel, Edgar, 2016. "Household heterogeneity in the euro area since the onset of the Great Recession," Journal of Policy Modeling, Elsevier, vol. 38(1), pages 181-197.
    15. Gross, Marco & Población García, Francisco Javier, 2016. "Assessing the efficacy of borrower-based macroprudential policy using an integrated micro-macro model for European households," Working Paper Series 1881, European Central Bank.
    16. Nicolas Albacete & Peter Lindner, 2013. "Household Vulnerability in Austria – A Microeconomic Analysis Based on the Household Finance and Consumption Survey," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 25, pages 57-73.
    17. Kacper Grejcz & Zbigniew Żółkiewski, 2017. "Household wealth in Poland: the results of a new survey of household finance," Bank i Kredyt, Narodowy Bank Polski, vol. 48(3), pages 295-326.
    18. Tom Bilston & Robert Johnson & Matthew Read, 2015. "Stress Testing the Australian Household Sector Using the HILDA Survey," RBA Research Discussion Papers rdp2015-01, Reserve Bank of Australia.
    19. Barbara Cavalletti & Corrado Lagazio & Elena Lagomarsino & Daniela Vandone, 2020. "Consumer Debt and Financial Fragility: Evidence from Italy," Journal of Consumer Policy, Springer, vol. 43(4), pages 747-765, December.
    20. Marco FRIGERIO & Cristina OTTAVIANI & Daniela VANDONE, 2018. "A Meta-Analytic Investigation of Consumer Over-Indebtedness: the Role of Impulsivity," Departmental Working Papers 2018-08, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    More about this item

    Keywords

    household indebtedness; ability to pay; microdata;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D39 - Microeconomics - - Distribution - - - Other
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:onb:oenbfi:y:2015:i:2:b:2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Elisabeth Beckmann (email available below). General contact details of provider: https://edirc.repec.org/data/oenbbat.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.