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Could Spain be less different? Exploring the effects of macroprudential policy on the house price cycle

Author

Listed:
  • Adrian Carro

    (Banco de España)

Abstract

Employing an agent-based model of the Spanish housing market, this paper explores the main drivers behind the large amplitude of the Spanish house price cycle —as compared to most other European countries—, as well as the scope for macroprudential policy to reduce this amplitude. First, we exploit the availability of a previous calibration to the UK, which has a less pronounced house price cycle, to show the prominent role played by the distributions of various mortgage risk metrics: loan-to-value, loan-to-income and debt-service-to-income ratios. Second, we use the model to calibrate both a hard loan-to-value limit and a soft loan-to-income limit to smooth the Spanish house price cycle and match the amplitude of the UK equivalent. Finally, we characterise the effects of these calibrated policies over the different phases of the cycle, finding that both instruments reduce credit and price growth during the expansionary phase and also reduce their decline during the contractionary phase. Moreover, both instruments lead to a compositional shift in lending: the loan-to-value policy from first-time buyers to buy-to-let investors and the loan-to-income policy from both first-time buyers and home movers to buy-to-let investors.

Suggested Citation

  • Adrian Carro, 2022. "Could Spain be less different? Exploring the effects of macroprudential policy on the house price cycle," Working Papers 2230, Banco de España.
  • Handle: RePEc:bde:wpaper:2230
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    References listed on IDEAS

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    1. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    2. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2017. "Expectations-driven cycles in the housing market," Economic Modelling, Elsevier, vol. 60(C), pages 297-312.
    3. Pascal Seppecher & Isabelle L Salle & Marc Lavoie, 2018. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1045-1067.
    4. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    5. repec:hal:cepnwp:hal-01486597 is not listed on IDEAS
    6. Gonzalo Paz-Pardo, 2024. "Homeownership and Portfolio Choice over the Generations," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(1), pages 207-237, January.
    7. John Geanakoplos & Robert Axtell & J. Doyne Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," American Economic Review, American Economic Association, vol. 102(3), pages 53-58, May.
    8. Liu, Zheng & Miao, Jianjun & Zha, Tao, 2016. "Land prices and unemployment," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 86-105.
    9. Dimitrios Laliotis & Alejandro Buesa & Miha Leber & Javier Población, 2020. "An agent-based model for the assessment of LTV caps," Quantitative Finance, Taylor & Francis Journals, vol. 20(10), pages 1721-1748, October.
    10. Atif Mian & Kamalesh Rao & Amir Sufi, 2013. "Household Balance Sheets, Consumption, and the Economic Slump," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1687-1726.
    11. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    12. Jorge E. Galán & Matías Lamas, 2019. "Beyond the LTV ratio: new macroprudential lessons from Spain," Working Papers 1931, Banco de España.
    13. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2016. "The great mortgaging: housing finance, crises and business cycles," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 31(85), pages 107-152.
    14. Ozlem Akin & José Montalvo & Jaume García Villar & José-Luis Peydró & Josep Raya, 2014. "The real estate and credit bubble: evidence from Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(2), pages 223-243, August.
    15. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    16. 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.
    17. 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.
    18. Carlos Garriga & Aaron Hedlund, 2020. "Mortgage Debt, Consumption, and Illiquid Housing Markets in the Great Recession," American Economic Review, American Economic Association, vol. 110(6), pages 1603-1634, June.
    19. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    20. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    21. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    22. Markus Haavio & Caterina Mendicino & Maria Teresa Punzi, 2014. "Financial and economic downturns in OECD countries," Applied Economics Letters, Taylor & Francis Journals, vol. 21(6), pages 407-412, April.
    23. repec:hal:spmain:info:hdl:2441/5hussro0tc951q0jqpu8quliqu is not listed on IDEAS
    24. Edward E. Leamer, 2015. "Housing Really Is the Business Cycle: What Survives the Lessons of 2008–09?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 43-50, March.
    25. Glaeser, Edward L. & Nathanson, Charles G., 2017. "An extrapolative model of house price dynamics," Journal of Financial Economics, Elsevier, vol. 126(1), pages 147-170.
    26. A G Haldane & A E Turrell, 2018. "An interdisciplinary model for macroeconomics," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 219-251.
    27. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
    28. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    29. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    30. Franke, Reiner, 2009. "Applying the method of simulated moments to estimate a small agent-based asset pricing model," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 804-815, December.
    31. Gilli, M. & Winker, P., 2003. "A global optimization heuristic for estimating agent based models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 299-312, March.
    32. Franke, Reiner & Westerhoff, Frank, 2012. "Structural stochastic volatility in asset pricing dynamics: Estimation and model contest," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1193-1211.
    33. Riddel, Mary, 2004. "Housing-market disequilibrium: an examination of housing-market price and stock dynamics 1967-1998," Journal of Housing Economics, Elsevier, vol. 13(2), pages 120-135, June.
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    Cited by:

    1. John Muellbauer, 2024. "Housing and Macroprudential Policy," Economics Series Working Papers 1056, University of Oxford, Department of Economics.
    2. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.

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    More about this item

    Keywords

    agent-based modelling; housing market; macroprudential policy; borrower-based measures; buy-to-let sector;
    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
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • 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

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