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Collateral Constraints and Macroeconomic Asymmetries

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  • Luca Guerrieri

    (Federal Reserve Board)

  • Matteo Iacoviello

    (Federal Reserve Board)

Abstract

We show that a simple macroeconomic model with collateral constraints displays strong asymmetric responses to boom and bust periods. In a boom triggered by a rise in asset values, constraints become more and more relaxed, the collateral channel is weaker, and the response of aggregate consumption (and output) to a wealth shock is positive but small. In a recession, collateral constraints get tighter and tighter, the collateral channel gets stronger, and the response in consumption from a given change in asset values is negative and large. In experiments from an estimated model, we show how the elasticity of consumption to housing wealth can become nearly three times as large in a recession, even without accounting for the zero bound on interest rates. One implication from our model is that wealth effects computed in normal times might underestimate the true wealth effects which incorporate the response to large, negative wealth shocks such as those occurred during the Great Recession.

Suggested Citation

  • Luca Guerrieri & Matteo Iacoviello, 2012. "Collateral Constraints and Macroeconomic Asymmetries," 2012 Meeting Papers 1024, Society for Economic Dynamics.
  • Handle: RePEc:red:sed012:1024
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    Cited by:

    1. Punzi, Maria Teresa, 2016. "Financial cycles and co-movements between the real economy, finance and asset price dynamics in large-scale crises," FinMaP-Working Papers 61, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Octavio Portolano Machado & Carlos Carvalho & Tiago Berriel, 2015. "Lift-off Uncertainty: What Can We Infer From the FOMC's Summary of Economic Projections?," 2015 Meeting Papers 903, Society for Economic Dynamics.
    3. Piergiorgio Alessandri & Antonio M. Conti & Fabrizio Venditti, 2016. "The Financial Stability Dark Side of Monetary Policy," BCAM Working Papers 1601, Birkbeck Centre for Applied Macroeconomics.
    4. Maffezzoli, Marco & Monacelli, Tommaso, 2015. "Deleverage and Financial Fragility," CEPR Discussion Papers 10531, C.E.P.R. Discussion Papers.
    5. repec:ipg:wpaper:2014-459 is not listed on IDEAS
    6. 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.
    7. Yakov Ben-Haim & Maria Demertzis & Jan Willem Van den End, 2017. "Fundamental uncertainty and unconventional monetary policy: an info-gap approach," DNB Working Papers 544, Netherlands Central Bank, Research Department.
    8. Andrew Binning & Junior Maih, 2016. "Implementing the Zero Lower Bound in an Estimated Regime-Switching DSGE Model," Working Papers No 3/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2016. "Evolution of the Monetary Transmission Mechanism in the US: the Role of Asset Returns," The Journal of Real Estate Finance and Economics, Springer, pages 226-243.
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    12. Kukk, Merike, 2016. "How did household indebtedness hamper consumption during the recession? Evidence from micro data," Journal of Comparative Economics, Elsevier, pages 764-786.
    13. Beatrice D. Simo-Kengne & Rangan Gupta & Manoel Bittencourt, 2013. "The Impact of House Prices on Consumption in South Africa: Evidence from Provincial-Level Panel VARs," Housing Studies, Taylor & Francis Journals, pages 1133-1154.
    14. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Paper 2017/23, Norges Bank.
    15. Fabiano Schivardi & Enrico Sette & Guido Tabellini, 2017. "Credit misallocation during the European financial crisis," BIS Working Papers 669, Bank for International Settlements.
    16. Merike Kukk, 2014. "How Did Household Indebtedness Hamper Consumption during the Recession? Evidence from Micro Data," TUT Economic Research Series 14, Department of Finance and Economics, Tallinn University of Technology.
    17. Thorsten Beck & Andrea Colciago & Damjan Pfajfar, 2014. "The role of financial intermediaries in monetary policy transmission," DNB Working Papers 420, Netherlands Central Bank, Research Department.
    18. Chi-Wei SU & Zong-Liang YAO & Hsu-Ling CHANG, 2016. "The relationship between output and asset prices: A time – and frequency – varying approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, pages 57-76.
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    20. Yoo, Jinhyuk, 2017. "Capital injection to banks versus debt relief to households," IMFS Working Paper Series 111, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    21. Merike Kukk, 2015. "How Did Household Indebtedness Hamper Consumption during the Recession? Evidence from Micro Data," a/ Working Papers Series 1505, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    22. Carlos Viana de Carvalho & Eduardo Zilberman & Laura Candido de Souza & Nilda Mercedes Cabrera Pasca, 2014. "Macroeconomic Effects of Credit Deepening in Latin America," Textos para discussão 629, Department of Economics PUC-Rio (Brazil).
    23. Beck, Thorsten & Colciago, Andrea & Pfajfar, Damjan, 2014. "The role of financial intermediaries in monetary policy transmission," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 1-11.
    24. repec:ipg:wpaper:2014-476 is not listed on IDEAS
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    More about this item

    JEL classification:

    • 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
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • 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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