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Unconventional US Monetary Policy: New Tools, Same Channels?

Author

Listed:
  • Martin Feldkircher

    () (Oesterreichische Nationalbank (OeNB))

  • Florian Huber

    () (Department of Economics, Vienna University of Economics and Business)

Abstract

In this paper we compare the transmission of a conventional monetary policy shock with that of an unexpected decrease in the term spread, which mirrors quantitative easing. Employing a time-varying vector autoregression with stochastic volatility, our results are two-fold: First, the spread shock works mainly through a boost to consumer wealth growth, while a conventional monetary policy shock affects real output growth via a broad credit / bank lending channel. Second, both shocks exhibit a distinct pattern over our sample period. More specifically, we find small output effects of a conventional monetary policy shock during the period of the global financial crisis and stronger effects in its aftermath. This might imply that when the central bank has left the policy rate unaltered for an extended period of time, a policy surprise might boost output particularly strongly. By contrast, the spread shock has affected output growth most strongly during the period of the global financial crisis and less so thereafter. This might point to diminishing effects of large scale asset purchase programs.

Suggested Citation

  • Martin Feldkircher & Florian Huber, 2016. "Unconventional US Monetary Policy: New Tools, Same Channels?," Department of Economics Working Papers wuwp222, Vienna University of Economics and Business, Department of Economics.
  • Handle: RePEc:wiw:wiwwuw:wuwp222
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    References listed on IDEAS

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    1. Butt, Nick & Churm, Rohan & McMahon, Michael & Morotz, Arpad & Schanz, Jochen, 2014. "QE and the bank lending channel in the United Kingdom," Bank of England working papers 511, Bank of England.
    2. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    3. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," Review of Economic Studies, Oxford University Press, vol. 77(2), pages 665-696.
    4. Jannsen, Nils & Potjagailo, Galina & Wolters, Maik H., 2015. "Monetary policy during financial crises: Is the transmission mechanism impaired?," Kiel Working Papers 2005, Kiel Institute for the World Economy (IfW).
    5. Silvana Tenreyro & Gregory Thwaites, 2016. "Pushing on a String: US Monetary Policy Is Less Powerful in Recessions," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(4), pages 43-74, October.
    6. Dimitris Korobilis, 2013. "Assessing the Transmission of Monetary Policy Using Time-varying Parameter Dynamic Factor Models-super-," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 157-179, April.
    7. Dunne, Peter & Everett, Mary & Stuart, Rebecca, 2015. "The Expanded Asset Purchase Programme – What, Why and How of Euro Area QE," Quarterly Bulletin Articles, Central Bank of Ireland, pages 61-71, July.
    8. Joseph Gagnon & Matthew Raskin & Julie Remache & Brian Sack, 2011. "The Financial Market Effects of the Federal Reserve's Large-Scale Asset Purchases," International Journal of Central Banking, International Journal of Central Banking, vol. 7(1), pages 3-43, March.
    9. Christiane Baumeister & Luca Benati, 2013. "Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound," International Journal of Central Banking, International Journal of Central Banking, vol. 9(2), pages 165-212, June.
    10. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 821-852.
    11. Knut Are Aastveit & Gisle James Natvik & Sergio Sola, 2013. "Economic uncertainty and the effectiveness of monetary policy," Working Paper 2013/17, Norges Bank.
    12. Cogley, Timothy & Morozov, Sergei & Sargent, Thomas J., 2005. "Bayesian fan charts for U.K. inflation: Forecasting and sources of uncertainty in an evolving monetary system," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1893-1925, November.
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    Cited by:

    1. Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? Bayesian inference in the threshold time varying parameter (TTVP) model," Department of Economics Working Papers wuwp235, Vienna University of Economics and Business, Department of Economics.
    2. Fritz Breuss, 2017. "The United States-Euro Area Growth Gap Puzzle," WIFO Working Papers 541, WIFO.
    3. Burriel, Pablo & Galesi, Alessandro, 2018. "Uncovering the heterogeneous effects of ECB unconventional monetary policies across euro area countries," European Economic Review, Elsevier, vol. 101(C), pages 210-229.

    More about this item

    Keywords

    Unconventional monetary policy; transmission channel; Bayesian TVP-SV-VAR;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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