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Changes in the transmission of monetary policy: evidence from a time-varying factor-augmented VAR

Author

Listed:
  • Baumeister, Christiane

    () (Bank of Canada)

  • Liu, Philip

    () (International Monetary Fund)

  • Mumtaz, Haroon

    () (Bank of England)

Abstract

This paper re-examines the evolution of the US monetary transmission mechanism using an empirical framework that incorporates substantially more information than the standard tri-variate VAR model used in most previous studies. In particular, we employ an extended version of a factor-augmented VAR, where we introduce time variation in the coefficients and stochastic volatilities in the variances of the shocks. Our formulation has two substantive advantages over earlier work: (i) the additional information summarised by the common factors that are extracted from a large panel of aggregate and disaggregate variables improves the identification of the monetary policy shocks since the factors capture more accurately the amount of information analysed by the monetary authority, (ii) we are able to estimate the time-varying effects of monetary policy surprises on macroeconomic aggregates and disaggregate prices and quantities of personal consumption expenditures. Our main results indicate that time variation is a dominant feature of key macroeconomic variables and their components. In analysing the temporal evolution of disaggregate dynamics, we uncover a considerable amount of heterogeneity in sectoral price responses which suggests that monetary policy actions exert an important, and potentially long-lasting, influence on relative prices in the US economy.

Suggested Citation

  • Baumeister, Christiane & Liu, Philip & Mumtaz, Haroon, 2010. "Changes in the transmission of monetary policy: evidence from a time-varying factor-augmented VAR," Bank of England working papers 401, Bank of England.
  • Handle: RePEc:boe:boeewp:0401
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    File URL: https://www.bankofengland.co.uk/-/media/boe/files/working-paper/2010/changes-in-the-transmission-monetary-policy-evidence-from-a-time.pdf
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    References listed on IDEAS

    as
    1. Mark Bils & Peter J. Klenow & Oleksiy Kryvtsov, 2003. "Sticky prices and monetary policy shocks," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-9.
    2. Farmer, Roger E.A. & Waggoner, Daniel F. & Zha, Tao, 2011. "Minimal state variable solutions to Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2150-2166.
    3. Jean Boivin & Marc P. Giannoni & Ilian Mihov, 2009. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," American Economic Review, American Economic Association, vol. 99(1), pages 350-384, March.
    4. Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
    5. 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.
    6. Altissimo, Filippo & Mojon, Benoit & Zaffaroni, Paolo, 2009. "Can aggregation explain the persistence of inflation?," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 231-241, March.
    7. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Eickmeier, Sandra & Lemke, Wolfgang & Marcellino, Massimiliano, 2011. "Classical time-varying FAVAR models - Estimation, forecasting and structural analysis," CEPR Discussion Papers 8321, C.E.P.R. Discussion Papers.
    2. Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2014. "Forecasting UK GDP growth and inflation under structural change. A comparison of models with time-varying parameters," International Journal of Forecasting, Elsevier, vol. 30(1), pages 129-143.
    3. repec:taf:oabmxx:v:3:y:2016:i:1:p:1154283 is not listed on IDEAS
    4. Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2016. "Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 118-127, January.
    5. Sohrab Rafiq, 2013. "The Growth and Stabilization Properties of Fiscal Policy in Malaysia," IMF Working Papers 13/149, International Monetary Fund.
    6. Dario Caldara & Richard Harrison & Anna Lipińska, 2014. "Practical Tools For Policy Analysis In Dsge Models With Missing Shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1145-1163, November.
    7. Garreth Rule, 2012. "Collateral management in central bank policy operations," Handbooks, Centre for Central Banking Studies, Bank of England, edition 1, number 31.
    8. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    9. Colin Ellis & Haroon Mumtaz & Pawel Zabczyk, 2014. "What Lies Beneath? A Time‐varying FAVAR Model for the UK Transmission Mechanism," Economic Journal, Royal Economic Society, vol. 0(576), pages 668-699, May.
    10. Rafiq Sohrab, 2012. "Is Discretionary Fiscal Policy in Japan Effective?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-49, August.
    11. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.
    12. Vugar Ahmadov & Shaig Adigozalov & Salman Huseynov & Fuad Mammadov & Vugar Rahimov, 2016. "Forecasting inflation in post-oil boom years: A case for non-linear models?," Working Papers 1601, Central Bank of Azerbaijan Republic.
    13. Dario Caldara & Richard Harrison & Anna Lipinska, 2012. "Practical tools for policy analysis in DSGE models with missing channels," Finance and Economics Discussion Series 2012-72, Board of Governors of the Federal Reserve System (U.S.).
    14. Garreth Rule, 2011. "Issuing central bank securities," Handbooks, Centre for Central Banking Studies, Bank of England, edition 1, number 30.
    15. Sohrab Rafiq, 2014. "What Do Energy Prices Tell Us About UK Inflation?," Economica, London School of Economics and Political Science, vol. 81(322), pages 293-310, April.

    More about this item

    Keywords

    FAVAR; time-varying parameters; monetary transmission;

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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