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A model of quantitative easing at the zero lower bound

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  • Dürmeier, Stefan

Abstract

The research question relates to the quantitative impact of government bond purchases of the European Central Bank on inflation and other economic variables at the zero lower bound. At the core is a standard New Keynesian Dynamic Stochastic General Equilibrium model with several financial frictions. The model replicates the intended effect of Quantitative Easing regarding the drop in the government bond yield at the expense of a rise in public debt, and displays the crowding out effect on the balance sheet of the bank which spurs credit and output. Amid lower levels of wages and consumption, the overall quantitative effect is nevertheless not inflationary but deflationary. After a shock to the credit supply, Quantitative Easing is activated more if the zero lower bound on the policy rate is in place. Output after the first period, consumption as well as wages and inflation drop more in the case of the zero lower bound and Quantitative Easing does not make up for the loss. The same findings for the economic performance marked by these four variables are obtained for the analysis at the zero lower bound when a shock hits the exposure of financial intermediaries to public debt.

Suggested Citation

  • Dürmeier, Stefan, 2022. "A model of quantitative easing at the zero lower bound," BERG Working Paper Series 183, Bamberg University, Bamberg Economic Research Group.
  • Handle: RePEc:zbw:bamber:183
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    1. Thomas M. Mertens & John C. Williams, 2019. "Monetary Policy Frameworks and the Effective Lower Bound on Interest Rates," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 427-432, May.
    2. Sami Alpanda & Gino Cateau & Césaire Meh, 2018. "A policy model to analyze macroprudential regulations and monetary policy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 828-863, August.
    3. Fabia Carvalho & Fabia A. de Carvalho & Silvio Michael de Azevedo Costa & Marcos Ribeiro de Castro, 2013. "Traditional and matter-of-fact financial frictions in a DSGE model for Brazil: the role of macroprudential instruments and monetary policy," EcoMod2013 5145, EcoMod.
    4. Tom D. Holden, 2023. "Existence and Uniqueness of Solutions to Dynamic Models with Occasionally Binding Constraints," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1481-1499, November.
    5. Guerrieri, Luca & Iacoviello, Matteo, 2015. "OccBin: A toolkit for solving dynamic models with occasionally binding constraints easily," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 22-38.
    6. Cúrdia, Vasco & Woodford, Michael, 2011. "The central-bank balance sheet as an instrument of monetarypolicy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 54-79, January.
    7. Gambacorta, Leonardo & Signoretti, Federico M., 2014. "Should monetary policy lean against the wind?," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 146-174.
    8. Wieland, V. & Afanasyeva, E. & Kuete, M. & Yoo, J., 2016. "New Methods for Macro-Financial Model Comparison and Policy Analysis," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1241-1319, Elsevier.
    9. Holden, Tom D., 2016. "Existence, uniqueness and computation of solutions to dynamic models with occasionally binding constraints," EconStor Preprints 127430, ZBW - Leibniz Information Centre for Economics.
    10. Pichler Paul, 2008. "Forecasting with DSGE Models: The Role of Nonlinearities," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-35, July.
    11. Cavalcanti, Marco A.F.H. & Vereda, Luciano & Doctors, Rebeca de B. & Lima, Felipe C. & Maynard, Lucas, 2018. "The macroeconomic effects of monetary policy shocks under fiscal rules constrained by public debt sustainability," Economic Modelling, Elsevier, vol. 71(C), pages 184-201.
    12. Wu, Jing Cynthia & Zhang, Ji, 2019. "A shadow rate New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    13. Kiley, Michael T. & Sim, Jae W., 2014. "Bank capital and the macroeconomy: Policy considerations," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 175-198.
    14. Cavalcanti, Marco A. F. H. & Vereda, Luciano, 2015. "Fiscal Policy Multipliers in a DSGE Model for Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(2), March.
    15. Paul Pichler, 2007. "Forecasting with estimated dynamic stochastic general equilibrium models: The role of nonlinearities," Vienna Economics Papers 0702, University of Vienna, Department of Economics.
    16. Holden, Tom D., 2016. "Computation of solutions to dynamic models with occasionally binding constraints," EconStor Preprints 144569, ZBW - Leibniz Information Centre for Economics.
    17. Ireland, Peter N., 1997. "A small, structural, quarterly model for monetary policy evaluation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 47(1), pages 83-108, December.
    18. Claudio Borio, 2014. "Monetary policy and financial stability: what role in prevention and recovery?," BIS Working Papers 440, Bank for International Settlements.
    19. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
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    Keywords

    Quantitative Easing; Taylor Rule; Zero Lower Bound; Moral Hazard;
    All these keywords.

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