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Endogenous housing risk in an estimated DSGE model of the Euro Area

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Listed:
  • Beatrice Pataracchia
  • Rafal Raciborski
  • Marco Ratto
  • Werner Roeger

Abstract

The paper provides an extension to first generation DSGE models with a financial sector – for which QUEST III would be a typical example – by explicitly modelling (mortgage) loan demand and supply decisions. We estimate a DSGE model with a housing sector where housing capital is used as collateral against which impatient consumers borrow from more patient lenders. While in existing estimated models with a construction sector the Loan-to-Value (LTV) ratio is imposed exogenously and constant (e.g., Iacoviello and Neri, 2010, In’t Veld et al., 2011), we introduce an endogenous LTV ratio by explicitly modelling the riskiness of loans in order to capture changing credit conditions. Using data of the Euro Area, we show that, compared to similar models with an exogenous LTV ratio, the business cycle properties of our model improve. The endogenous default mechanism allows estimating an important amplification mechanism driven by the riskiness of collateral values and propagating, in turn, into the real economy. Housing market-related shocks appear to be the main driver of the pre-crisis growth of mortgage-backed loans and a subsequent reversal of the sentiment on the housing market may have been a trigger that led to a credit crunch, house price bubble burst and a collapse in the construction sector. Shocks on the housing market had also a substantial impact on several demand aggregates, in particular, consumption.

Suggested Citation

  • Beatrice Pataracchia & Rafal Raciborski & Marco Ratto & Werner Roeger, 2013. "Endogenous housing risk in an estimated DSGE model of the Euro Area," European Economy - Economic Papers 2008 - 2015 505, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  • Handle: RePEc:euf:ecopap:0505
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    Cited by:

    1. Joe Cho Yiu Ng, 2021. "International Macroeconomic Aspect of Housing," GRU Working Paper Series GRU_2021_014, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    2. Bokan, N. & Gerali, A. & Gomes, S. & Jacquinot, P. & Pisani, M., 2018. "EAGLE-FLI: A macroeconomic model of banking and financial interdependence in the euro area," Economic Modelling, Elsevier, vol. 69(C), pages 249-280.
    3. Chiara Punzo & Lorenza Rossi, 2019. "The Redistributive Effects of a Money-Financed Fiscal Stimulus," DISCE - Working Papers del Dipartimento di Economia e Finanza def076, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    4. Boscá, J.E. & Doménech, R. & Ferri, J. & Méndez, R. & Rubio-Ramírez, J.F., 2020. "Financial and fiscal shocks in the great recession and recovery of the Spanish economy," European Economic Review, Elsevier, vol. 127(C).
    5. Daniel Monteiro, 2023. "Macrofinancial Dynamics in a Monetary Union," European Economy - Discussion Papers 188, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Martino, Ricci & Patrizio, Tirelli, 2017. "Subprime Mortgages and Banking in a DSGE Model," Working Papers 366, University of Milano-Bicocca, Department of Economics, revised 22 Jun 2017.
    7. Bekiros, Stelios & Nilavongse, Rachatar & Uddin, Gazi Salah, 2020. "Expectation-driven house prices and debt defaults: The effectiveness of monetary and macroprudential policies," Journal of Financial Stability, Elsevier, vol. 49(C).

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