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Unemployment in the Euro Area and Unconventional Monetary Policy Surprises

Author

Listed:
  • Oliver Hülsewig
  • Horst Rottmann
Abstract
We examine the impact of the European Central Bank’s monetary policy on the euro area labor markets over the period 2010-2018. Using Jordà’s (2005) local projection method, we find that unemployment rates decline in response to expansionary monetary policy surprises that can be related to unconventional policy measures. At the same time, hours worked rise. In the periphery countries, the reduction in unemployment rates is relatively pronounced, while in the core countries it is only minor. Thus, labor markets in the euro area were impacted differently by unconventional monetary policy measures.

Suggested Citation

  • Oliver Hülsewig & Horst Rottmann, 2022. "Unemployment in the Euro Area and Unconventional Monetary Policy Surprises," CESifo Working Paper Series 10091, CESifo.
    • Handle: RePEc:ces:ceswps:_10091
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    References listed on IDEAS

    as
    1. Altavilla, Carlo & Brugnolini, Luca & Gürkaynak, Refet S. & Motto, Roberto & Ragusa, Giuseppe, 2019. "Measuring euro area monetary policy," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 162-179.
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    More about this item

    Keywords

    Euro area; unconventional monetary policy; labor markets; local projections;
    All these keywords.

    JEL classification:

    • 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
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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