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Sectoral Agglomeration Economies in a Panel of European Regions

  • Brülhart, Marius
  • Mathys, Nicole Andréa

We estimate agglomeration economies, defined as the effect of density on labour productivity in European regions. The analysis of Ciccone (2002) is extended in two main ways. First, we use dynamic panel estimation techniques (system GMM), thus offering an alternative methodological treatment of the inherent endogeneity problem. Second, the sector dimension in the data allows for disaggregated estimation. Our results confirm the presence of significant agglomeration effects at the aggregate level, with an estimated long-run elasticity of 13 percent. Repeated cross-section regressions suggest that the strength of agglomeration effects has increased over time. At the sector level, the dominant pattern is of cross-sector "urbanisation" economies and own-sector congestion diseconomies. A notable exception is financial services, for which we find strong positive productivity effects from own-sector density.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 6410.

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Date of creation: Aug 2007
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Handle: RePEc:cpr:ceprdp:6410
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  19. Bond, Stephen Roy & Hoeffler, Anke & Temple, Jonathan, 2001. "GMM Estimation of Empirical Growth Models," CEPR Discussion Papers 3048, C.E.P.R. Discussion Papers.
  20. Marius Brülhart & Pamina Koenig, 2005. "New Economic Geography meets Comecon: Regional Wages and Industry Location in Central Europe," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 05.01, Université de Lausanne, Faculté des HEC, DEEP.
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