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The European Unemployment Gap and the Role of Monetary Policy

Author

Listed:
  • Oreste Napolitano

    (Department of Economic Studies S. Vinci - University of Naples Parthenope)

  • Alberto Montagnoli

    (University of Stirling- Division of Economics)

Abstract

This study will shed some light on the debate on the impact of monetary policy on the labour market in Europe. The Phillips curve implies that demand-induced changes in inflation tend to lag behind movements in the unemployment rate, which means that a comparison between the actual unemployment rate and the NAIRU may be helpful in forecasting future changes in inflation. By using an unobserved component model with a Kalman filter we estimate the NAIRU for three countries in the euro area. Moreover, using a Markov switching model we investigate whether European monetary policy is responsible for these unemployment gaps and whether the interest rate is transmitted asymmetrically across countries

Suggested Citation

  • Oreste Napolitano & Alberto Montagnoli, 2010. "The European Unemployment Gap and the Role of Monetary Policy," Economics Bulletin, AccessEcon, vol. 30(2), pages 1346-1358.
    • Handle: RePEc:ebl:ecbull:eb-10-00012
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    References listed on IDEAS

    as
    1. Thomas Laubach, 2001. "Measuring The NAIRU: Evidence From Seven Economies," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 218-231, May.
    2. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    3. Nicoletta Batini & Jennifer V. Greenslade, 2006. "Measuring the UK short-run NAIRU," Oxford Economic Papers, Oxford University Press, vol. 58(1), pages 28-49, January.
    4. Favero Carlo A. & Milani Fabio, 2005. "Parameter Instability, Model Uncertainty and the Choice of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-33, February.
    5. Ramon Maria-Dolores, "undated". "Asymmetries in the Cyclical Effects of Monetary Policy on Output: Some European Evidence," Working Papers on International Economics and Finance 02-04, FEDEA.
    6. Zacharias Psaradakis & Nicola Spagnolo, 2003. "On The Determination Of The Number Of Regimes In Markov‐Switching Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(2), pages 237-252, March.
    7. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    8. Mark Crosby & Nilss Olekalns, 1998. "Inflation, Unemployment and the NAIRU in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 31(2), pages 117-129, June.
    9. Laurence Boone & Claude Giorno & Mara Meacci & David Rae & Pete Richardson & Dave Turner, 2003. "Estimating the structural rate of unemployment for the OECD countries," OECD Economic Studies, OECD Publishing, vol. 2001(2), pages 171-216.
    10. Peersman, Gert & Smets, Frank, 2001. "The monetary transmission mechanism in the euro area: more evidence from VAR analysis," Working Paper Series 91, European Central Bank.
    11. Jan Kakes & Sitikantha Pattanaik, 2000. "The transmission of monetary shocks in the euro area: a V AR analysis based on euro-wide data," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 53(213), pages 171-186.
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    Keywords

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    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E0 - Macroeconomics and Monetary Economics - - General

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