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Assessing the economy-wide effects of quantitative easing

Author

Listed:
  • Kapetanios, George

    (Queen Mary, University of London)

  • Mumtaz, Haroon

    (Bank of England)

  • Stevens, Ibrahim

    (Bank of England)

  • Theodoridis, Konstantinos

    (Bank of England)

Abstract

This paper examines the macroeconomic impact of the first round of quantitative easing (QE) by the Bank of England which started in March 2009. Although Bank Rate, the UK policy rate, was reduced to ½%, effectively its lower bound, the Bank’s Monetary Policy Committee felt that additional measures were necessary to meet the inflation target in the medium term. The policy of QE entailed buying private and mainly public assets in large quantities using central bank money, with the aim of injecting money into the economy and boosting nominal spending, in order to help achieve the Bank’s inflation target. Over the period from March 2009 to January 2010, the Bank of England purchased £200 billion of assets, mainly consisting of government securities. We attempt to quantify the effects of these purchases by focusing on the impact of lower long-term interest rates on the wider economy. This is motivated by empirical evidence indicating that QE purchases reduced long-term UK government bond yields by about 100 basis points. Other transmission channels are also possible, but are not considered in this paper. We use three different models to conduct counterfactual simulations to estimate the impact of QE on output and inflation: a large Bayesian VAR; a change-point structural VAR; and a time-varying parameter VAR. Our preferred average estimates from the three models suggest that QE may have had a peak effect on the level of real GDP of around 1½% and a peak effect on annual CPI inflation of about 1¼ percentage points. These estimates are shown to vary considerably across the different model specifications, and with the precise assumptions made to generate the counterfactual simulations, and are therefore subject to considerable uncertainty.

Suggested Citation

  • Kapetanios, George & Mumtaz, Haroon & Stevens, Ibrahim & Theodoridis, Konstantinos, 2012. "Assessing the economy-wide effects of quantitative easing," Bank of England working papers 443, Bank of England.
  • Handle: RePEc:boe:boeewp:0443
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    References listed on IDEAS

    as
    1. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    2. Dimitri Vayanos & Jean‐Luc Vila, 2021. "A Preferred‐Habitat Model of the Term Structure of Interest Rates," Econometrica, Econometric Society, vol. 89(1), pages 77-112, January.
    3. Vasco Curdia & Michael Woodford, 2010. "Conventional and unconventional monetary policy," Review, Federal Reserve Bank of St. Louis, vol. 92(May), pages 229-264.
    4. Hess Chung & Jean‐Philippe Laforte & David Reifschneider & John C. Williams, 2012. "Have We Underestimated the Likelihood and Severity of Zero Lower Bound Events?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(s1), pages 47-82, February.
    5. Kimura Takeshi & Small David H., 2006. "Quantitative Monetary Easing and Risk in Financial Asset Markets," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(1), pages 1-54, March.
    6. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2011. "The Effects of Quantitative Easing on Interest Rates: Channels and Implications for Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(2 (Fall)), pages 215-287.
    7. Baumeister, Christiane & Benati, Luca, 2010. "Unconventional monetary policy and the great recession - Estimating the impact of a compression in the yield spread at the zero lower bound," Working Paper Series 1258, European Central Bank.
    8. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    9. Robin Greenwood & Dimitri Vayanos, 2014. "Bond Supply and Excess Bond Returns," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 663-713.
    10. Harrison, Richard, 2012. "Asset purchase policy at the effective lower bound for interest rates," Bank of England working papers 444, Bank of England.
    11. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    12. James D. Hamilton & Jing Cynthia Wu, 2012. "The Effectiveness of Alternative Monetary Policy Tools in a Zero Lower Bound Environment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(s1), pages 3-46, February.
    13. Mr. Andre Meier, 2009. "Panacea, Curse, or Nonevent? Unconventional Monetary Policy in the United Kingdom," IMF Working Papers 2009/163, International Monetary Fund.
    14. Neely, Christopher J., 2015. "Unconventional monetary policy had large international effects," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 101-111.
    15. Bauwens, Luc & Lubrano, Michel & Richard, Jean-Francois, 2000. "Bayesian Inference in Dynamic Econometric Models," OUP Catalogue, Oxford University Press, number 9780198773139.
    16. Andrés, Javier & López-Salido, J David & Nelson, Edward, 2004. "Tobin's Imperfect Asset Substitution in Optimizing General Equilibrium," CEPR Discussion Papers 4336, C.E.P.R. Discussion Papers.
    17. Charles R. Bean & Matthias Paustian & Adrian Penalver & Tim Taylor, 2010. "Monetary policy after the fall," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 267-328.
    18. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    19. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    20. Joyce, Michael & Lasaosa, Ana & Stevens , Ibrahim & Tong, Matthew, 2010. "The financial market impact of quantitative easing," Bank of England working papers 393, Bank of England.
    21. Eric T. Swanson, 2011. "Let's Twist Again: A High-Frequency Event-study Analysis of Operation Twist and Its Implications for QE2," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 151-207.
    22. Lawrence Christiano & Daisuke Ikeda, 2011. "Government Policy, Credit Markets and Economic Activity," NBER Working Papers 17142, National Bureau of Economic Research, Inc.
    23. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    24. Aït-Sahalia, Yacine & Andritzky, Jochen & Jobst, Andreas & Nowak, Sylwia & Tamirisa, Natalia, 2012. "Market response to policy initiatives during the global financial crisis," Journal of International Economics, Elsevier, vol. 87(1), pages 162-177.
    25. Chib, Siddhartha, 1998. "Estimation and comparison of multiple change-point models," Journal of Econometrics, Elsevier, vol. 86(2), pages 221-241, June.
    26. James Mitchell & Richard J. Smith & Martin R. Weale & Stephen Wright & Eduardo L. Salazar, 2005. "An Indicator of Monthly GDP and an Early Estimate of Quarterly GDP Growth," Economic Journal, Royal Economic Society, vol. 115(501), pages 108-129, February.
    27. Bridges, Jonathan & Thomas, Ryland, 2012. "The impact of QE on the UK economy – some supportive monetarist arithmetic," Bank of England working papers 442, Bank of England.
    28. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
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    More about this item

    Keywords

    Bayesian methods; large-scale asset purchases; quantitative easing; vector autoregressions;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • 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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