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Labour's reward across regions of the EU: a distributional dynamic approach

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  • Don Webber

Abstract

A large number of empirical studies have tested for the presence of convergence for a variety of economic variables. This paper examines the evolution of labour's reward across regions of the EU to identify whether factor price convergence has occurred. Density diagrams are used to illustrate static distributions while transitional matrices are employed to identify movements of the distribution over time. The results presented suggest that the evolutionary paths of average regional pay are fairly stable with stratification and persistence identified as important characteristics. There was uninterrupted convergence of average regional pay between 1980-1992. However, between 1992-1994 this process reversed.

Suggested Citation

  • Don Webber, 2002. "Labour's reward across regions of the EU: a distributional dynamic approach," Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 385-394.
    • Handle: RePEc:taf:applec:v:34:y:2002:i:3:p:385-394
    DOI: 10.1080/00036840110050633
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    References listed on IDEAS

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    1. James Harrigan, 2000. "International Trade and American Wages in General Equilibrium, 1967-1995," NBER Chapters, in: The Impact of International Trade on Wages, pages 171-196, National Bureau of Economic Research, Inc.
    2. Jonathan E. Haskel, 2000. "Trade and Labor Approaches to Wage Inequality," Review of International Economics, Wiley Blackwell, vol. 8(3), pages 397-408, August.
    3. Jonathan E. Haskel, 2000. "Trade and Labor Approaches to Wage Inequality," Review of International Economics, Wiley Blackwell, vol. 8(3), pages 397-408, August.
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    Cited by:

    1. Sergio J. Rey & Mark V. Janikas, 2005. "Regional convergence, inequality, and space," Journal of Economic Geography, Oxford University Press, vol. 5(2), pages 155-176, April.
    2. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, University Library of Munich, Germany, revised 16 Nov 2003.

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