IDEAS home Printed from https://ideas.repec.org/p/bno/worpap/2020_10.html
   My bibliography  Save this paper

Multiple credit constraints and timevarying macroeconomic dynamics

Author

Listed:
  • Ingholt, Marcus Mølbak

Abstract

I explore the macroeconomic implications of borrowers facing both loan-to-value (LTV) and debt-service-to-income (DTI) limits, using an estimated DSGE model. I identify when each constraint dominated over the period 1984-2019: LTV constraints dominate in contractions, when house prices are relatively low – and DTI constraints dominate in expansions, when interest rates are relatively high. I also find that DTI standards were relaxed during the mid-2000s’ boom, and that lower DTI limits or higher interest rates, but not lower LTV limits, would have prevented the boom. Finally, county panel data attest to multiple credit constraints as a source of nonlinear dynamics.

Suggested Citation

  • Ingholt, Marcus Mølbak, 2020. "Multiple credit constraints and timevarying macroeconomic dynamics," Working Paper 2020/10, Norges Bank.
    • Handle: RePEc:bno:worpap:2020_10
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/11250/2711211
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guerrieri, Luca & Iacoviello, Matteo, 2017. "Collateral constraints and macroeconomic asymmetries," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 28-49.
    2. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    3. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    4. Zheng Liu & Pengfei Wang & Tao Zha, 2013. "Land‐Price Dynamics and Macroeconomic Fluctuations," Econometrica, Econometric Society, vol. 81(3), pages 1147-1184, May.
    5. David Berger & Veronica Guerrieri & Guido Lorenzoni & Joseph Vavra, 2018. "House Prices and Consumer Spending," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1502-1542.
    6. Sbordone, Argia M., 2002. "Prices and unit labor costs: a new test of price stickiness," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March.
    7. Greg Kaplan & Kurt Mitman & Giovanni L. Violante, 2020. "The Housing Boom and Bust: Model Meets Evidence," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3285-3345.
    8. S. Rao Aiyagari, 1994. "Uninsured Idiosyncratic Risk and Aggregate Saving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 659-684.
    9. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2011. "Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models," Quantitative Economics, Econometric Society, vol. 2(2), pages 173-210, July.
    10. Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
    11. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    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. Cho Daeha & Mok Junghwan & Shim Myungkyu, 2021. "Leaning-Against-the-Wind: Which Policy and When?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(1), pages 125-150, January.

    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. Mølbak Ingholt, Marcus, 2022. "Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. repec:zbw:bofitp:2009_014 is not listed on IDEAS
    3. Marcus Ingholt, 2018. "LTV vs. DTI Constraints: When Did They Bind, and How Do They Interact?," 2018 Meeting Papers 866, Society for Economic Dynamics.
    4. Callum Jones & Virgiliu Midrigan & Thomas Philippon, 2022. "Household Leverage and the Recession," Econometrica, Econometric Society, vol. 90(5), pages 2471-2505, September.
    5. Bertrand Achou & Hippolyte d'Albis & Eleni Iliopulo, 2021. "House prices and rents: a reappraisal," Cahiers de recherche / Working Papers 6, Institut sur la retraite et l'épargne / Retirement and Savings Institute.
    6. Bertrand Achou & Hippolyte d'Albis & Eleni Iliopulos, 2021. "Real Estate and Rental Markets during Covid Times," Documents de recherche 21-02, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    7. Zhou, Jing, 2022. "Collateral quality and house prices," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).
    8. William Gatt, 2018. "Housing boom-bust cycles and asymmetric macroprudential policy," CBM Working Papers WP/02/2018, Central Bank of Malta.
    9. Andrea Camilli & Marta Giagheddu, 2020. "Public debt and crowding-out: the role of housing wealth," Working Papers 441, University of Milano-Bicocca, Department of Economics, revised Oct 2020.
    10. Funke, Michael & Paetz, Michael & Pytlarczyk, Ernest, 2011. "Stock market wealth effects in an estimated DSGE model for Hong Kong," Economic Modelling, Elsevier, vol. 28(1-2), pages 316-334, January.
    11. Ester Faia & Tommaso Monacelli, 2008. "Optimal Monetary Policy in a Small Open Economy with Home Bias," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 721-750, June.
    12. Jean-Philippe Laforte, 2007. "Pricing Models: A Bayesian DSGE Approach for the U.S. Economy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 127-154, February.
    13. Joseph P. Byrne & Alexandros Kontonikas & Alberto Montagnoli, 2013. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 913-932, August.
    14. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    15. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    16. Jan Marc Berk & Job Swank, 2007. "Regional real exchange rates and Phillips curves in monetary unions - Evidence from the US and EMU," DNB Working Papers 147, Netherlands Central Bank, Research Department.
    17. Jae Won Lee, 2012. "Aggregate Implications of Heterogeneous Households in a Sticky‐Price Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 1-22, February.
    18. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    19. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    20. Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What's Up with the Phillips Curve?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 301-373.
    21. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.

    More about this item

    Keywords

    multiple credit constraints; nonlinear estimation of DSGE models; state-dependent credit origination;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • 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:bno:worpap:2020_10. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nbgovno.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.