IDEAS home Printed from https://ideas.repec.org/p/zbw/fmpwps/67.html
   My bibliography  Save this paper

Borrower heterogeneity within a risky mortgage-lending market

Author

Listed:
  • Punzi, Maria Teresa
  • Rabitsch, Katrin

Abstract

We propose a model of a risky mortgage-lending market in which we take explicit account of heterogeneity in household borrowing conditions, by introducing two borrower types: one with a low loan-to-value (LTV) ratio, one with a high LTV ratio, calibrated to U.S. data. We use such framework to study a deleveraging shock, modeled as an increase in housing investment risk, that falls more strongly on, and produces a larger contraction in credit for high-LTV type borrowers, as in the data. We find that this deleveraging experience produces significant aggregate effects on output and consumption, and that the contractionary effects are orders of magnitudes higher in a model version that takes account of borrower heterogeneity, compared to a more standard model version with a representative borrower.

Suggested Citation

  • Punzi, Maria Teresa & Rabitsch, Katrin, 2016. "Borrower heterogeneity within a risky mortgage-lending market," FinMaP-Working Papers 67, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
  • Handle: RePEc:zbw:fmpwps:67
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/148066/1/872486842.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chiara Forlati & Luisa Lambertini, 2011. "Risky Mortgages in a DSGE Model," International Journal of Central Banking, International Journal of Central Banking, vol. 7(1), pages 285-335, March.
    2. Punzi, Maria Teresa & Rabitsch, Katrin, 2015. "Investor borrowing heterogeneity in a Kiyotaki–Moore style macro model," Economics Letters, Elsevier, vol. 130(C), pages 75-79.
    3. Michał Brzoza-Brzezina & Paolo Gelain & Marcin Kolasa, 2014. "Monetary and macroprudential policy with multiperiod loans," NBP Working Papers 192, Narodowy Bank Polski, Economic Research Department.
    4. Dominic Quint & Pau Rabanal, 2014. "Monetary and Macroprudential Policy in an Estimated DSGE Model of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 10(2), pages 169-236, June.
    5. Nobuhiro Kiyotaki & Alexander Michaelides & Kalin Nikolov, 2011. "Winners and Losers in Housing Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 255-296, March.
    6. Robert Kollmann, 2013. "Global Banks, Financial Shocks, and International Business Cycles: Evidence from an Estimated Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 159-195, December.
    7. Lambertini, Luisa & Nuguer, Victoria & Uysal, Pinar, 2017. "Mortgage default in an estimated model of the U.S. housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 171-201.
    8. Ferrante, Francesco, 2015. "Risky Mortgages, Bank Leverage and Credit Policy," Finance and Economics Discussion Series 2015-110, Board of Governors of the Federal Reserve System (US).
    9. Kollmann, Robert & Enders, Zeno & Müller, Gernot J., 2011. "Global banking and international business cycles," European Economic Review, Elsevier, vol. 55(3), pages 407-426, April.
    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. Punzi, Maria Teresa & Rabitsch, Katrin, 2018. "Effectiveness of macroprudential policies under borrower heterogeneity," Journal of International Money and Finance, Elsevier, vol. 85(C), pages 251-261.
    2. repec:bla:jecsur:v:33:y:2019:i:4:p:1199-1231 is not listed on IDEAS
    3. Andrea Colciago & Anna Samarina & Jakob de Haan, 2019. "Central Bank Policies And Income And Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(4), pages 1199-1231, September.

    More about this item

    Keywords

    Borrowing Constraints; Loan-to-Value ratio; Heterogeneity; Financial Amplification;

    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:fmpwps:67. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - Leibniz Information Centre for Economics). General contact details of provider: http://edirc.repec.org/data/vakiede.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.