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Macroeconomic effects of monetary policy in Korea: A time-varying coefficient VAR approach

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  • Han, Jong-Suk
  • Hur, Joonyoung
Abstract
Using a time-varying coefficient vector autoregressive (TVC-VAR) model, we assess how the efficacy of monetary policy innovations in stimulating real activity has evolved over time in Korea, as an example of emerging market countries, since 2000. We show that the responsiveness of output toward monetary policy innovations has decreased gradually since the early to mid-2000s, but monetary policy remains effective in boosting output even for the most recent sample. In addition, we find that the volatility of exogenous disturbances has decreased dramatically in the post-2000 period, and that this is the main driver of the recent volatility reductions of both output and inflation.

Suggested Citation

  • Han, Jong-Suk & Hur, Joonyoung, 2020. "Macroeconomic effects of monetary policy in Korea: A time-varying coefficient VAR approach," Economic Modelling, Elsevier, vol. 89(C), pages 142-152.
    • Handle: RePEc:eee:ecmode:v:89:y:2020:i:c:p:142-152
    DOI: 10.1016/j.econmod.2019.10.002
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    References listed on IDEAS

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    3. Sun, Weihong & Liu, Ding, 2023. "Great moderation with Chinese characteristics: Uncovering the role of monetary policy," Economic Modelling, Elsevier, vol. 121(C).

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    More about this item

    Keywords

    Time-varying coefficient VAR; Stochastic volatility; Monetary policy;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; 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
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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