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Specialisation Patterns and the Synchronicity of Regional Employment Cycles in Europe Author info | Abstract | Publisher info | Download info | Related research | Statistics Belke, Ansgar () (University of Hohenheim and IZA Bonn)
Heine, Jens M. (zeb/rolfes.schierenbeck.associates)
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This paper examines the degree of correlation of EU regional employment cycles and attempts to show whether these cycles reflect changing patterns of specialisation. By focusing on the regional level and by employing three different indicators of similarity of sectoral structure, it improves on existing studies. A dynamic panel data model is estimated pairs of regions by within groups, i.e., by a standard fixed effects estimator. Special attention is paid to capture the rich dynamics which are typical of employment data. The key finding is that employment growth is more synchronised when regions look alike in their sectoral structure.
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
1439.
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Length: 34 pages
Date of creation: Dec 2004Date of revision:
Handle: RePEc:iza:izadps:dp1439Contact details of provider: Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany Phone: +49 228 3894 223 Fax: +49 228 3894 180 Web page: http://www.iza.org
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Keywords: regional employment ; European Union ; regional business cycles ; specialisation ; synchronicity ; Other versions of this item:
Find related papers by JEL classification: E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles F15 - International Economics - - Trade - - - Economic Integration R23 - Urban, Rural, and Regional Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: S Barrios & M Brülhart & R J R Elliott & M Sensier, 2002.
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Carlo Ciccarelli & Stefano Fenoaltea & Tommaso Proietti, 2008.
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133, Tor Vergata University, CEIS, revised 18 Nov 2008.
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