IDEAS home Printed from https://ideas.repec.org/a/bis/bisqtr/1509h.html
   My bibliography  Save this article

How much income is used for debt payments? A new database for debt service ratios

Author

Listed:
  • Mathias Drehmann
  • Anamaria Illes
  • Mikael Juselius
  • Marjorie Santos

Abstract

Important information on the interactions between debt and the real economy can be derived from debt service ratios (DSRs), ie the ratio of principal and interest payments to income. The BIS has accordingly released estimated aggregate DSR data for the total private non-financial sector for 32 countries from 1999 onwards. The methodology and key concepts are presented by Mathias Drehmann, Anamaria Illes, Marjorie Santos (BIS) and Mikael Juselius (Bank of Finland). For most countries, DSRs are available for both the household sector and the non-financial corporate sector. This article shows that estimated DSRs can meaningfully portray the movement of debt burdens over time, even though they are extracted from a relatively sparse set of aggregate data. A brief look at the evolution of DSRs in recent years shows that they allow a more comprehensive assessment of credit burdens than the credit-to-income ratio or simple measures of interest payments relative to income, because they take both interest payments and amortisation into account.

Suggested Citation

  • Mathias Drehmann & Anamaria Illes & Mikael Juselius & Marjorie Santos, 2015. "How much income is used for debt payments? A new database for debt service ratios," BIS Quarterly Review, Bank for International Settlements, September.
  • Handle: RePEc:bis:bisqtr:1509h
    as

    Download full text from publisher

    File URL: http://www.bis.org/publ/qtrpdf/r_qt1509h.pdf
    Download Restriction: no

    File URL: http://www.bis.org/publ/qtrpdf/r_qt1509h.htm
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Karen E. Dynan & Kathleen W. Johnson & Karen M. Pence, 2003. "Recent changes to a measure of U.S. household debt service," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), vol. 89(Oct), pages 417-426, October.
    2. Kathleen W. Johnson & Geng Li, 2010. "The Debt-Payment-to-Income Ratio as an Indicator of Borrowing Constraints: Evidence from Two Household Surveys," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(7), pages 1373-1390, October.
    3. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    4. Umar Faruqui, 2008. "Indebtedness and the Household Financial Health: An Examination of the Canadian Debt Service Ratio Distribution," Staff Working Papers 08-46, Bank of Canada.
    5. Christian Dembiermont & Mathias Drehmann & Siriporn Muksakunratana, 2013. "How much does the private sector really borrow - a new database for total credit to the private non-financial sector," BIS Quarterly Review, Bank for International Settlements, March.
    6. Alessi, Lucia & Antunes, Antonio & Babecky, Jan & Baltussen, Simon & Behn, Markus & Bonfim, Diana & Bush, Oliver & Detken, Carsten & Frost, Jon & Guimaraes, Rodrigo & Havranek, Tomas & Joy, Mark & Kau, 2015. "Comparing different early warning systems: Results from a horse race competition among members of the Macro-prudential Research Network," MPRA Paper 62194, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    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. repec:zbw:bofrdp:2016_003 is not listed on IDEAS
    2. Mikael Juselius & Claudio Borio & Piti Disyatat & Mathias Drehmann, 2017. "Monetary Policy, the Financial Cycle, and Ultra-Low Interest Rates," International Journal of Central Banking, International Journal of Central Banking, vol. 13(3), pages 55-89, September.
    3. Jooyung Lee, 2015. "Development of statistics for aggregate household debt service ratio in Korea," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Assessing household financial positions in Asia, volume 40, Bank for International Settlements.
    4. Mikael Juselius & Mathias Drehmann, 2015. "Leverage dynamics and the real burden of debt," BIS Working Papers 501, Bank for International Settlements.
    5. Mathias Drehmann & Mikael Juselius & Anton Korinek, 2017. "Accounting for debt service: the painful legacy of credit booms," BIS Working Papers 645, Bank for International Settlements.
    6. Drehmann, Mathias & Juselius, Mikael & Korinek, Anton, 2018. "Going with the flows: New borrowing, debt service and the transmission of credit booms," Bank of Finland Research Discussion Papers 10/2018, Bank of Finland.
    7. Mathias Drehmann & Mikael Juselius & Anton Korinek, 2018. "Going With the Flows: New Borrowing, Debt Service and the Transmission of Credit Booms," NBER Working Papers 24549, National Bureau of Economic Research, Inc.
    8. Joel A. Elvery & Mark E. Schweitzer, 2020. "Partially Disaggregated Household‐Level Debt Service Ratios: Construction, Validation, And Relationship To Bankruptcy Rates," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 166-187, January.
    9. Mikael Juselius & Claudio Borio & Piti Disyatat & Mathias Drehmann, 2017. "Monetary Policy, the Financial Cycle, and Ultra-Low Interest Rates," International Journal of Central Banking, International Journal of Central Banking, vol. 13(3), pages 55-89, September.
    10. repec:zbw:bofrdp:2017_012 is not listed on IDEAS
    11. repec:zbw:bofrdp:2016_024 is not listed on IDEAS
    12. Mikael Juselius & Mathias Drehmann, 2020. "Leverage Dynamics and the Burden of Debt," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 347-364, April.
    13. repec:zbw:bofrdp:2018_010 is not listed on IDEAS
    14. Mikael Juselius & Mathias Drehmann, 2020. "Leverage Dynamics and the Burden of Debt," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 347-364, April.
    15. Mathias Drehmann & Mikael Juselius & Anton Korinek, 2017. "Accounting for debt service: the painful legacy of credit booms," BIS Working Papers 645, Bank for International Settlements.
    16. Nora Azureen Abdul Rahman & Zunarni Kosim & Siew Goh Yeok, 2018. "The Characteristics of Household Loans in Conventional and Islamic Banks in Malaysia," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(7), pages 531-541, July.
    17. Sun, Lixin, 2015. "China’s Debt: Structure, Determinants and Sustainability," MPRA Paper 68548, University Library of Munich, Germany, revised Oct 2015.
    18. Drehmann, Mathias & Juselius, Mikael & Korinek, Anton, 2023. "Long-term debt propagation and real reversals," Bank of Finland Research Discussion Papers 5/2023, Bank of Finland.
    19. Alessi, Lucia & Detken, Carsten, 2018. "Identifying excessive credit growth and leverage," Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
    20. Drehmann, Mathias & Juselius, Mikael, 2014. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
    21. Yusuf Yıldırım & Anirban Sanyal, 2022. "Evaluating the Effectiveness of Early Warning Indicators: An Application of Receiver Operating Characteristic Curve Approach to Panel Data," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(4), pages 557-597, December.
    22. Gabriele Galati & Irma Hindrayanto & Siem Jan Koopman & Marente Vlekke, 2016. "Measuring financial cycles with a model-based filter: Empirical evidence for the United States and the euro area," DNB Working Papers 495, Netherlands Central Bank, Research Department.
    23. V. Coudert & J. Idier, 2016. "An Early Warning System for Macro-prudential Policy in France," Working papers 609, Banque de France.

    More about this item

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

    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:bis:bisqtr:1509h. 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: Christian Beslmeisl (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.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.