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Forward Guidance and Its Effectiveness: A Macro Finance Shadow-Rate Framework

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Abstract

Forward guidance provides monetary policy communication for an economy at the effective lower bound (ELB). In this paper, we consider both calendar- and outcome-based forward guidance about the timing of liftoff. We develop a novel macro-finance shadow rate term structure model by introducing unspanned macro factors and an outcome-based liftoff condition. We estimate the model using the maximum likelihood method with extended Kalman filter. Based on the estimation results, we show that outcome-based forward guidance is indeed effective and has significant monetary-easing effects on the real economy in both ELB periods of the global financial crisis (GFC) and the COVID-19 pandemic. In particular, we find that the overall impact on the unemployment rate is about 0.8 percent during both the GFC and the pandemic, but outcome-based forward guidance contributes more in the former than in the latter ELB period (about 0.30 percent versus 0.15 percent).

Suggested Citation

  • Junko Koeda & Bin Wei, 2023. "Forward Guidance and Its Effectiveness: A Macro Finance Shadow-Rate Framework," FRB Atlanta Working Paper 2023-16, Federal Reserve Bank of Atlanta.
  • Handle: RePEc:fip:fedawp:97150
    DOI: 10.29338/wp2023-16
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    References listed on IDEAS

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    3. Nakata, Taisuke & Ogaki, Ryota & Schmidt, Sebastian & Yoo, Paul, 2019. "Attenuating the forward guidance puzzle: Implications for optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 90-106.
    4. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    5. Jeffrey R. Campbell & Charles L. Evans & Jonas D.M. Fisher & Alejandro Justiniano, 2012. "Macroeconomic Effects of Federal Reserve Forward Guidance," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 1-80.
    6. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    7. Kim, Don H. & Singleton, Kenneth J., 2012. "Term structure models and the zero bound: An empirical investigation of Japanese yields," Journal of Econometrics, Elsevier, vol. 170(1), pages 32-49.
    8. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    9. Ichiue, Hibiki & Ueno, Yoichi, 2015. "Monetary policy and the yield curve at zero interest," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 1-12.
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    Cited by:

    1. NAKAJIMA, Jouchi, 2024. "Central bank balance sheets and long-term interest rates : Revisiting Japan's unconventional monetary policy experience," Discussion Paper Series 758, Institute of Economic Research, Hitotsubashi University.

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    More about this item

    Keywords

    forward guidance; effective lower bound (ELB); liftoff; term structure; shadow rate; macro finance; unspanned macro factors;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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