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Uncertainty and Monetary Policy in Good and Bad Times

Author

Listed:
  • Giovanni Caggiano

    (Department of Economics, Monash University)

  • Efrem Castelnuovo

    (Melbourne Institute of Applied Economic and Social Research)

  • Gabriela Nodari

    (Reserve Bank of Australia)

Abstract

We investigate the role played by systematic monetary policy in the United States in tackling the real effects of uncertainty shocks in recessions and expansions. We model key indicators of the business cycle with a nonlinear vector autoregression model that allows for different dynamics in busts and booms. Uncertainty shocks are identified by focusing on historical events that are associated with jumps in financial volatility. Our results show that uncertainty shocks hitting in recessions trigger a more abrupt drop and a faster recovery in real economic activity than in expansions. Counterfactual simulations suggest that the effectiveness of systematic US monetary policy in stabilising real activity in the aftermath of an uncertainty shock is greater in expansions. Finally, we provide empirical and narrative evidence pointing to a risk management approach by the Federal Reserve.

Suggested Citation

  • Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2017. "Uncertainty and Monetary Policy in Good and Bad Times," RBA Research Discussion Papers rdp2017-06, Reserve Bank of Australia.
    • Handle: RePEc:rba:rbardp:rdp2017-06
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    More about this item

    Keywords

    uncertainty shocks; nonlinear smooth transition vector autoregressions; generalised impulse response functions; systematic monetary policy;
    All these keywords.

    JEL classification:

    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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