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A time-varying parameter structural model of the UK economy

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  • Kapetanios, George
  • Masolo, Riccardo M.
  • Petrova, Katerina
  • Waldron, Matthew

Abstract

We estimate a time-varying parameter structural macroeconomic model of the UK economy, using a Bayesian local likelihood methodology. This enables us to estimate a large open-economy DSGE model over a sample that comprises several different monetary policy regimes and an incomplete set of data. Our estimation identifies a gradual shift to a monetary policy regime characterised by an increased responsiveness of policy towards inflation alongside a decrease in the inflation trend down to the two percent target level. The time-varying model also performs remarkably well in forecasting and delivers statistically significant accuracy improvements for most variables and horizons for both point and density forecasts compared to the standard fixed-parameter version.

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  • Kapetanios, George & Masolo, Riccardo M. & Petrova, Katerina & Waldron, Matthew, 2019. "A time-varying parameter structural model of the UK economy," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
    • Handle: RePEc:eee:dyncon:v:106:y:2019:i:c:5
    DOI: 10.1016/j.jedc.2019.05.012
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    4. Siddhartha Chib & Minchul Shin & Fei Tan, 2020. "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers 20-35, Federal Reserve Bank of Philadelphia.
    5. Rangan Gupta & Xiaojin Sun, 2022. "Time-Varying Parameter Four-Equation DSGE Model," Working Papers 202234, University of Pretoria, Department of Economics.
    6. Agustín Arias & Benjamín García & Ignacio Rojas, 2023. "Forward Guidance: Estimating a Behavioral DSGE Model with System Priors," Working Papers Central Bank of Chile 994, Central Bank of Chile.
    7. Siddhartha Chib & Minchul Shin & Fei Tan, 2023. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 69-111, January.
    8. Xiao-Li Gong & Jin-Yan Lu & Xiong Xiong & Wei Zhang, 2022. "Higher-order dynamic effects of uncertainty risk under thick-tailed stochastic volatility," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.
    9. Aquilante, Tommaso & Chowla, Shiv & Dacic, Nikola & Haldane, Andrew & Masolo, Riccardo & Schneider, Patrick & Seneca, Martin & Tatomir, Srdan, 2019. "Market power and monetary policy," Bank of England working papers 798, Bank of England.

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    More about this item

    Keywords

    DSGE models; Open economy; Time varying parameters; UK economy;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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