IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/15421.html

Macroeconomic and Fiscal Consequences of Quantitative Easing

In: NBER Macroeconomics Annual 2026, volume 41

Author

Listed:
  • Tobias Adrian
  • Christopher Erceg
  • Marcin Kolasa
  • Jesper Lindé
  • Pawel Zabczyk

Abstract

Quantitative easing (QE) has been criticized for helping fuel the post-COVID inflation boom and causing large central bank losses. In this paper, we argue that QE should be evaluated mainly on its ability to achieve core macro-objectives as well for its effects on the consolidated fiscal position of the government and central bank, although central bank losses can matter to the extent that they may weaken central bank credibility. Using a DSGE model with segmented asset markets, we show how QE can provide a sizeable boost to output and inflation in a deep liquidity trap and can reduce public debt substantially. This contrasts to the rise in public debt that occurs under fiscal expansion and makes QE an attractive tool in a high debt environment. There is more reason for caution in using QE in a "shallow" liquidity trap in which the notional interest rate is only slightly negative: QE runs more risk of causing the economy to overheat, especially if forward guidance has a strong element of commitment, and is more likely to generate sizeable central bank losses. Some refinements in strategy, including the use of escape clauses, can help mitigate overheating risks.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Tobias Adrian & Christopher Erceg & Marcin Kolasa & Jesper Lindé & Pawel Zabczyk, 2026. "Macroeconomic and Fiscal Consequences of Quantitative Easing," NBER Chapters, in: NBER Macroeconomics Annual 2026, volume 41, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:15421
    Note: EFG ME
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c15421.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mr. Tobias Adrian & Mr. Ashraf Khan & Lev Menand, 2024. "A New Measure of Central Bank Independence," IMF Working Papers 2024/035, International Monetary Fund.
    2. Fair, Ray C & Taylor, John B, 1983. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 51(4), pages 1169-1185, July.
    3. Juillard, Michel, 1996. "Dynare : a program for the resolution and simulation of dynamic models with forward variables through the use of a relaxation algorithm," CEPREMAP Working Papers (Couverture Orange) 9602, CEPREMAP.
    4. Valerie A. Ramey & Sarah Zubairy, 2018. "Government Spending Multipliers in Good Times and in Bad: Evidence from US Historical Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 850-901.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juillard, Michel & Laxton, Douglas & McAdam, Peter & Pioro, Hope, 1998. "An algorithm competition: First-order iterations versus Newton-based techniques," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1291-1318, August.
    2. Judd, Kenneth L., 2002. "The parametric path method: an alternative to Fair-Taylor and L-B-J for solving perfect foresight models," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1557-1583, August.
    3. Lieberknecht, Philipp & Wieland, Volker, 2019. "On the macroeconomic and fiscal effects of the Tax Cuts and Jobs Act," IMFS Working Paper Series 131, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    4. Ajevskis Viktors, 2017. "Semi-global solutions to DSGE models: perturbation around a deterministic path," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-28, April.
    5. Viktors Ajevskis, 2019. "Generalised Impulse Response Function as a Perturbation of a Global Solution to DSGE Models," Working Papers 2019/04, Latvijas Banka.
    6. Jean-Guillaume Sahuc & Gauthier Vermandel & Frank Smets, 2024. "The New Keynesian Climate Model," Working papers 977, Banque de France.
    7. Andrew Hodge & Zoltan Jakab & Jesper Lindé & Vina Nguyen, 2022. "U.S. and Euro Area Monetary and Fiscal Interactions During the Pandemic: A Structural Analysis," IMF Working Papers 2022/222, International Monetary Fund.
    8. Jesper Lindé & Mathias Trabandt, 2018. "Should we use linearized models to calculate fiscal multipliers?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 937-965, November.
    9. Wieland, Volker & Cwik, Tobias & Müller, Gernot J. & Schmidt, Sebastian & Wolters, Maik, 2012. "A new comparative approach to macroeconomic modeling and policy analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 523-541.
    10. Ludwig, Alexander, 2007. "The Gauss-Seidel-quasi-Newton method: A hybrid algorithm for solving dynamic economic models," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1610-1632, May.
    11. Cogan, John F. & Cwik, Tobias & Taylor, John B. & Wieland, Volker, 2010. "Corrigendum to "New Keynesian versus old Keynesian government spending multipliers" [J. Econ. Dynam. Control 34(3) (2010) 281-295]," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2229-2229, October.
    12. Stradi-Granados, Benito A. & Haven, Emmanuel, 2010. "The use of interval arithmetic in solving a non-linear rational expectation based multiperiod output-inflation process model: The case of the IN/GB method," European Journal of Operational Research, Elsevier, vol. 203(1), pages 222-229, May.
    13. Stefan Laséen & Lars E.O. Svensson, 2009. "Anticipated Alternative Instrument-Rate Paths in Policy Simulations," NBER Working Papers 14902, National Bureau of Economic Research, Inc.
    14. Tobias Cwik & Volker Wieland, 2011. "Keynesian government spending multipliers and spillovers in the euro area [Fiscal policy and growth: do financial crises make a difference?]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 26(67), pages 493-549.
    15. Cherrier, Beatrice & Saïdi, Aurélien & Sergi, Francesco, 2026. "“Write your model almost as you would on paper and Michel will take care of the rest!” Michel Juillard’s contribution to macroeconomics in historical perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 182(C).
    16. Ludwig, Alexander, 2004. "Improving Tatonnement Methods for Solving Heterogeneous Agent Models," Sonderforschungsbereich 504 Publications 04-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    17. Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2023. "Environmental Subsidies to Mitigate Net-Zero Transition Costs," Working papers 910, Banque de France.
    18. Martin Bodenstein & Christopher J. Erceg & Luca Guerrieri, 2017. "The effects of foreign shocks when interest rates are at zero," Canadian Journal of Economics, Canadian Economics Association, vol. 50(3), pages 660-684, August.
    19. Adjemian, Stéphane & Bastani, Houtan & Juillard, Michel & Karamé, Fréderic & Mihoubi, Ferhat & Mutschler, Willi & Pfeifer, Johannes & Ratto, Marco & Rion, Normann & Villemot, Sébastien, 2022. "Dynare: Reference Manual Version 5," Dynare Working Papers 72, CEPREMAP, revised Mar 2023.
      • Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023. "Dynare: Reference Manual Version 5," PSE Working Papers hal-04219920, HAL.
      • Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023. "Dynare: Reference Manual Version 5," Working Papers hal-04219920, HAL.
    20. David Kendrick & Hans Amman, 2006. "A Classification System for Economic Stochastic Control Models," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 453-481, June.

    More about this item

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberch:15421. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.