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The effects of monetary policy on unemployment dynamics under model uncertainty: evidence from the US and the euro area

Author

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  • Altavilla, Carlo
  • Ciccarelli, Matteo

Abstract

This paper explores the role that the imperfect knowledge of the structure of the economy plays in the uncertainty surrounding the effects of rule-based monetary policy on unemployment dynamics in the euro area and the US. We employ a Bayesian model averaging procedure on a wide range of models which differ in several dimensions to account for the uncertainty that the policymaker faces when setting the monetary policy and evaluating its effect on real economy. We find evidence of a high degree of dispersion across models in both policy rule parameters and impulse response functions. Moreover, monetary policy shocks have very similar recessionary effects on the two economies with a different role played by the participation rate in the transmission mechanism. Finally, we show that a policy maker who does not take model uncertainty into account and selects the results on the basis of a single model may come to misleading conclusions not only about the transmission mechanism, but also about the differences between the euro area and the US, which are on average essentially small. JEL Classification: C11, E24, E52, E58

Suggested Citation

  • Altavilla, Carlo & Ciccarelli, Matteo, 2009. "The effects of monetary policy on unemployment dynamics under model uncertainty: evidence from the US and the euro area," Working Paper Series 1089, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20091089
    Note: 2279334
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    Cited by:

    1. Giovanni Lombardo & Peter McAdam, 2010. "Incorporating financial frictions into new-generation macro models," Research Bulletin, European Central Bank, vol. 9, pages 13-16.
    2. Eagle, David M., 2012. "Nominal GDP targeting for a speedier economic recovery," MPRA Paper 39821, University Library of Munich, Germany.
    3. Fiorella De Fiore & Oreste Tristani, 2010. "Financial conditions and monetary policy," Research Bulletin, European Central Bank, vol. 9, pages 10-12.
    4. Cornelia Holthausen & Huw Pill, 2010. "The forgotten markets: How understanding money markets helps us to understand the financial crisis," Research Bulletin, European Central Bank, vol. 9, pages 2-5.
    5. Carlo Altavilla & Matteo Ciccarelli, 2011. "Monetary Policy Analysis in Real-Time. Vintage combination from a real-time dataset," CSEF Working Papers 274, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    6. Angela Maddaloni & José-Luis Peydró, 2010. "Bank lending standards and the origins and implications of the current banking crisis," Research Bulletin, European Central Bank, vol. 9, pages 6-9.
    7. Giovanni Dell'Ariccia & Karl Habermeier & Vikram Haksar & Tommaso Mancini-Griffoli, 2017. "Monetary Policy and Financial Stability," RBA Annual Conference Volume (Discontinued), in: Jonathan Hambur & John Simon (ed.),Monetary Policy and Financial Stability in a World of Low Interest Rates, Reserve Bank of Australia.

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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