IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_822_23.html
   My bibliography  Save this paper

Borrower based measures analysis via a new agent based model of the Italian real estate sector

Author

Listed:
  • Gennaro Catapano

    (Bank of Italy)

Abstract

This paper presents a new agent-based model (ABM) of the real estate and credit sectors. The main purpose of the model is to study the effects of introducing a borrower-based macroprudential policy on the banking system, households, and the real estate market. The paper describes a comprehensive set of policy experiments simulating the effects of introducing different loan-to-value (LTV) caps on newly issued mortgages. The analysis sheds light on the relevance of the degree of heterogeneity in household indebtedness tolerance and its mean level. Moreover, it studies the impact of the phase-in period length and of the timing of the introduction of such a measure. While generally effective in reducing credit risk and curbing both house prices and household indebtedness growth, these measures may also have transitory negative side effects on banks’ balance sheets and real estate markets. The results suggest the scenarios, calibration, and timing under which the introduction of an LTV cap might have the most favorable outcomes.

Suggested Citation

  • Gennaro Catapano, 2023. "Borrower based measures analysis via a new agent based model of the Italian real estate sector," Questioni di Economia e Finanza (Occasional Papers) 822, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_822_23
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2023-0822/QEF_822_23.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gennaro Catapano & Francesco Franceschi & Valentina Michelangeli & Michele Loberto, 2021. "Macroprudential Policy Analysis via an Agent Based Model of the Real Estate Sector," Temi di discussione (Economic working papers) 1338, Bank of Italy, Economic Research and International Relations Area.
    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. Tarne, Ruben & Bezemer, Dirk & Theobald, Thomas, 2022. "The effect of borrower-specific loan-to-value policies on household debt, wealth inequality and consumption volatility: An agent-based analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    2. Bardoscia, Marco & Carro, Adrian & Hinterschweiger, Marc & Napoletano, Mauro & Popoyan, Lilit & Roventini, Andrea & Uluc, Arzu, 2024. "The impact of prudential regulations on the UK housing market and economy: insights from an agent-based model," Bank of England working papers 1066, Bank of England.

    More about this item

    Keywords

    agent based model; housing market; macroprudential policy;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:bdi:opques:qef_822_23. 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/bdigvit.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.