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Uncertainty and the Real Effects of Monetary Policy Shocks in the Euro Area

Author

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  • Giovanni Pellegrino

    (Melbourne Institute: Applied Economic and Social Research, The University of Melbourne)

Abstract

This paper estimates a nonlinear Interacted-VAR model to investigate whether the effectiveness of monetary policy shocks in the Euro area is influenced by the level of European uncertainty. Generalized Impulse Response Functions à la Koop et al. (1996) suggest that the peak and cumulative effects of monetary policy shocks are lower during uncertain times than during tranquil times, and significantly so once times of very high and very low uncertainty are considered.

Suggested Citation

  • Giovanni Pellegrino, 2017. "Uncertainty and the Real Effects of Monetary Policy Shocks in the Euro Area," Melbourne Institute Working Paper Series wp2017n15, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    • Handle: RePEc:iae:iaewps:wp2017n15
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    References listed on IDEAS

    as
    1. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2014. "Uncertainty and Monetary Policy in Good and Bad Times," "Marco Fanno" Working Papers 0188, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Adina Popescu & Frank Rafael Smets, 2010. "Uncertainty, Risk-taking, and the Business Cycle in Germany," CESifo Economic Studies, CESifo Group, vol. 56(4), pages 596-626, December.
    3. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    4. Giovanni Caggiano & Efrem Castelnuovo & Valentina Colombo & Gabriela Nodari, 2015. "Estimating Fiscal Multipliers: News From A Non‐linear World," Economic Journal, Royal Economic Society, vol. 0(584), pages 746-776, May.
    5. Philippine Cour-Thimann & Bernhard Winkler, 2012. "The ECB’s non-standard monetary policy measures: the role of institutional factors and financial structure," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 28(4), pages 765-803, WINTER.
    6. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    7. Sydney Ludvigson, 2016. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response," 2016 Meeting Papers 183, Society for Economic Dynamics.
    8. Giovanni Pellegrino, 2021. "Uncertainty and monetary policy in the US: A journey into nonlinear territory," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1106-1128, July.
    9. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    10. Joseph Vavra, 2014. "Inflation Dynamics and Time-Varying Volatility: New Evidence and an Ss Interpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 215-258.
    11. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    12. Stefan Gerlach & John Lewis, 2014. "ECB Reaction Functions and the Crisis of 2008," International Journal of Central Banking, International Journal of Central Banking, vol. 10(1), pages 137-158, March.
    13. repec:zbw:bofrdp:2017_008 is not listed on IDEAS
    14. Charles Evans & Jonas Fisher & Francois Gourio & Spencer Krane, 2015. "Risk Management for Monetary Policy Near the Zero Lower Bound," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(1 (Spring), pages 141-219.
    15. Efrem Castelnuovo, 2016. "Monetary policy shocks and Cholesky VARs: an assessment for the Euro area," Empirical Economics, Springer, vol. 50(2), pages 383-414, March.
    16. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Monetary policy shocks; Non-Linear Structural Vector Auto-Regressions; Interacted-VAR; Generalized Impulse Response Functions; uncertainty;
    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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