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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
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    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. 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.
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    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

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