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Macroeconomic implications of mortgage loans requirements: An agent based approach

Author

Listed:
  • Bulent Ozel

    (Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Reynold Christian Nathanael

    (DIME-CINEF, Università di Genova, Italy)

  • Marco Raberto

    (DIME-CINEF, Università di Genova, Italy)

  • Andrea Teglio

    (Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Silvano Cincotti

    (DIME-CINEF, Università di Genova, Italy)

Abstract

This paper presents an enhancement of the Eurace agent-based model by designing a housing market with a related mortgage lending device. The presence of the housing market has some important macroeconomic implications, mainly given by the additional amount of endogenous money injected into the economy through the new mortgage device. This additional money generally helps to increase and stabilize aggregated demand, thus improving the main economic indicators. However, if the mortgage lending regulation is relaxed too much, by raising the debt-service-to-income ratio (DSTI), then the additional supply of mortgages doesn’t increase the macroeconomic performance any more, and undermines the stability of the economic system. Following some recent discussion, a stock control regulation that targets households net wealth (a stock), instead of income (a flow), is designed and analyzed. Results show that stock control regulation can be effectively combined with DSTI in order to increase the stability of the housing market and of the whole economy. Moreover, stock control regulation exhibits the interesting property to directly affect mortgage distribution among households.

Suggested Citation

  • Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    • Handle: RePEc:jau:wpaper:2016/05
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    Cited by:

    1. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    2. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    3. Ruben Tarne & Dirk Bezemer & Thomas Theobald, 2021. "The Effect of borrower-specific Loan-to-Value policies on household debt, wealth inequality and consumption volatility," IMK Working Paper 212-2021, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    4. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    5. Adrian Carro & Marc Hinterschweiger & Arzu Uluc & J Doyne Farmer, 2023. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 386-432.
    6. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    7. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    8. Andrea Mazzocchetti & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2018. "Securitization and business cycle: an agent-based perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1091-1121.
    9. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    10. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    11. Mérő, Bence & Vágó, Nikolett, 2018. "Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására [A demand-led model of the housing market for studying the macro-prudential means of reg," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1115-1153.
    12. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 261-283, November.
    13. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    14. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "An Agent-based Stock-flow Consistent Model of the Sustainable Transition in the Energy Sector," Ecological Economics, Elsevier, vol. 145(C), pages 274-300.
    15. 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).
    16. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    17. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    18. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).

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    More about this item

    Keywords

    Computational techniques; simulation modeling; business fluctuations; cycles; money supply; credit; money multipliers;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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