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Exiting from quantitative easing

Author

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  • Fumio Hayashi
  • Junko Koeda

Abstract

We propose an empirical framework for analyzing the macroeconomic effects of quantitative easing (QE) and apply it to Japan. The framework is a regime‐switching structural vector autoregression in which the monetary policy regime, chosen by the central bank responding to economic conditions, is endogenous and observable. QE is modeled as one of the regimes. The model incorporates an exit condition for terminating QE. We find that higher reserves at the effective lower bound raise inflation and output, and that terminating QE may be contractionary or expansionary, depending on the state of the economy at the point of exit.

Suggested Citation

  • Fumio Hayashi & Junko Koeda, 2019. "Exiting from quantitative easing," Quantitative Economics, Econometric Society, vol. 10(3), pages 1069-1107, July.
    • Handle: RePEc:wly:quante:v:10:y:2019:i:3:p:1069-1107
    DOI: 10.3982/QE1058
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    Citations

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    Cited by:

    1. Sophocles Mavroeidis, 2021. "Identification at the Zero Lower Bound," Econometrica, Econometric Society, vol. 89(6), pages 2855-2885, November.
    2. Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2022. "Estimating a Nonlinear New Keynesian Model with the Zero Lower Bound for Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1637-1671, September.
    3. Kirstin Hubrich & Daniel F. Waggoner, 2022. "The Transmission of Financial Shocks and Leverage of Financial Institutions: An Endogenous Regime-Switching Framework," FRB Atlanta Working Paper 2022-5, Federal Reserve Bank of Atlanta.
    4. Morita, Hiroshi, 2020. "Empirical Analysis on the Effects of Japanese Fiscal Policy under the Effective Lower Bound," Discussion paper series HIAS-E-97, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    5. Maciej Stefański, 2021. "Macroeconomic Effects of Quantitative Easing Using Mid-sized Bayesian Vector Autoregressions," KAE Working Papers 2021-068, Warsaw School of Economics, Collegium of Economic Analysis.
    6. Koeda, Junko & Sekine, Atsushi, 2022. "Nelson–Siegel decay factor and term premia in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    7. Deniz Erdemlioglu & Christopher J. Neely & Xiye Yang, 2023. "Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications," Working Papers 2023-016, Federal Reserve Bank of St. Louis.
    8. Hiroyuki Kubota & Mototsugu Shintani, 2023. "Macroeconomic Effects of Monetary Policy in Japan: An Analysis Using Interest Rate Futures Surprises," CARF F-Series CARF-F-555, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    9. Hiroyuki Kubota & Mototsugu Shintani, 2020. "High-frequency Identification of Unconventional Monetary Policy Shocks in Japan," CARF F-Series CARF-F-502, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    10. Toshitaka Sekine & Frank Packer & Shunichi Yoneyama, 2022. "Individual Trend Inflation," IMES Discussion Paper Series 22-E-14, Institute for Monetary and Economic Studies, Bank of Japan.
    11. Basu, Parantap & Wada, Kenji, 2023. "Unconventional monetary policy and the bond market in Japan: A new Keynesian perspective," Japan and the World Economy, Elsevier, vol. 67(C).
    12. Meng, Xiangcai & Huang, Chia-Hsing, 2021. "The time-frequency analysis of conventional and unconventional monetary policy: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 59(C).

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