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Effects of Monetary Policy Shocks on UK Regional Activity: A Constrained MFVAR Approach

Author

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  • Zeyyad Mandalinci

    (Queen Mary University of London)

Abstract

This paper examines the effects of monetary policy shocks on UK regional economic growth and dispersion in a novel Constrained Mixed Frequency Vector Autoregressive framework. Compared to a standard MFVAR, the model partially accounts for missing quarterly observations for regional growth by exploiting national growth data. Results suggest significant heterogeneity in the importance of monetary policy shocks across regions. Mortgage indebtedness is highly related to regional sensitivity to monetary policy shocks. Also, there is some evidence suggesting that regions with larger share of manufacturing output and small and medium sized firms in employ ment are more sensitive to monetary policy shocks.

Suggested Citation

  • Zeyyad Mandalinci, 2015. "Effects of Monetary Policy Shocks on UK Regional Activity: A Constrained MFVAR Approach," Working Papers 758, Queen Mary University of London, School of Economics and Finance.
    • Handle: RePEc:qmw:qmwecw:758
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    References listed on IDEAS

    as
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    15. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    16. Zeyyad Mandalinci & Haroon Mumtaz, 2019. "Global Economic Divergence and Portfolio Capital Flows to Emerging Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(6), pages 1713-1730, September.
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2018. "Regional Output Growth in the United Kingdom: More Timely and Higher Frequency Estimates, 1970-2017," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-14, Economic Statistics Centre of Excellence (ESCoE).
    2. Gary Koop & Stuart McIntyre & James Mitchell, 2018. "UK regional nowcasting using a mixed frequency vector autoregressive model," Working Papers 1805, University of Strathclyde Business School, Department of Economics.
    3. Vadim Napalkov & Anna Novak & Andrey Shulgin, 2021. "Variations in the Effects of a Single Monetary Policy: The Case of Russian Regions," Russian Journal of Money and Finance, Bank of Russia, vol. 80(1), pages 3-45, March.
    4. Valeria Zvereva & Olga Demidova & Dmitry Korshunov & Alexander Myasnikov, 2024. "Impact of Intraregional Income Inequality on the Operation of the Bank of Russia's Monetary Policy Transmission Mechanism," Russian Journal of Money and Finance, Bank of Russia, vol. 83(1), pages 3-31, March.
    5. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2020. "Regional output growth in the United Kingdom: More timely and higher frequency estimates from 1970," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 176-197, March.
    6. Gary Koop & Stuart McIntyre & James Mitchell, 2020. "UK regional nowcasting using a mixed frequency vector auto‐regressive model with entropic tilting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 91-119, January.

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    More about this item

    Keywords

    Regional growth; Monetary policy; Bayesian analysis; VAR; Mixed frequency data;
    All these keywords.

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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