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Evolving UK macroeconomic dynamics: a time-varying factor augmented VAR

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  • Mumtaz, Haroon

    (Bank of England)

Abstract

Changes in monetary policy and shifts in dynamics of the macroeconomy are typically described using empirical models that only include a limited amount of information. Examples of such models include time-varying vector autoregressions that are estimated using output growth, inflation and a short-term interest rate. This paper extends these models by incorporating a larger amount of information in these tri-variate VARs. In particular, we use a factor augmented vector autoregression extended to incorporate time-varying coefficients and stochastic volatility in the innovation variances. The reduced-form results not only confirm the finding that the great stability period in the United Kingdom is characterised by low persistence and volatility of inflation and output but also suggest that these findings extend to money growth and asset prices. The impulse response functions display little evidence of a price puzzle indicating that the extra information incorporated in our model leads to more robust structural estimates.

Suggested Citation

  • Mumtaz, Haroon, 2010. "Evolving UK macroeconomic dynamics: a time-varying factor augmented VAR," Bank of England working papers 386, Bank of England.
  • Handle: RePEc:boe:boeewp:0386
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    References listed on IDEAS

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    Cited by:

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    3. Zakaria Moussa, 2016. "How big is the comeback? Japanese exchange rate pass-through assessed by time-varying FAVAR," Post-Print hal-03714934, HAL.
    4. Jalali-Naini , Ahmad. R. & Hemati , Maryam, 2012. "The Effect of Monetary Shocks on Disaggregated Prices in a Data Rich Environment: a Bayesian FAVAR Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 6(4), pages 27-60, July.
    5. Tavakolian , Hossein & Babaee , Majid & Shakeri , Abbas, 2018. "How Fluctuations in Macroeconomic Indicators Affect Inflation in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(3), pages 267-289, July.
    6. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2020. "The Effectiveness Of Monetary Policy In South Africa Under Inflation Targeting: Evidence from a Time-Varying Factor-Augmented Vector Autoregressive Model," Journal of Developing Areas, Tennessee State University, College of Business, vol. 54(4), pages 55-73, October-D.
    7. Petrovska Magdalena & Tonovska Jasna & Nikolov Miso & Sulejmani Artan, 2022. "Evaluating Monetary Policy Effectiveness in North Macedonia: Evidence from a Bayesian Favar Framework," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 67-82, December.
    8. Nam, Kyungsik, 2021. "Investigating the effect of climate uncertainty on global commodity markets," Energy Economics, Elsevier, vol. 96(C).
    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. Zakaria Moussa, 2016. "How big is the comeback? Japanese exchange rate pass-through assessed by Time-Varying FAVAR," Working Papers hal-01282811, HAL.

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    More about this item

    Keywords

    FAVAR; great stability; time-varying parameters; stochastic volatility;
    All these keywords.

    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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