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Estimating Agglomeration Economies With History, Geology, And Worker Effects

Listed author(s):
  • Pierre-Philippe Combes

    ()

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - Université de la Méditerranée - Aix-Marseille 2 - Université Paul Cézanne - Aix-Marseille 3 - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - Ecole Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Gilles Duranton

    ()

    (Department of Economics - University of Toronto)

  • Laurent Gobillon

    ()

    (INED - Institut national d'études démographiques)

  • Sébastien Roux

    ()

    (CREST - Centre de Recherche en Économie et Statistique - INSEE - ENSAE ParisTech - École Nationale de la Statistique et de l'Administration Économique)

Does productivity increase with density? We revisit the issue usingFrench wage and TFP data. To deal with the ‘endogenous quantity of labour' bias (i.e., urban agglomeration is consequence of high local productivity rather than a cause), we take an instrumental variable approach and introduce a new set of geological instruments in addition to standard historical instruments. To dealwith the ‘endogenous quality of labour' bias (i.e., cities attract skilled workers so that the effects of skills and urban agglomeration are confounded), we take a worker fixed-effect approach with wage data. We find modest evidence about theendogenous quantity of labour bias and both sets of instruments give a similar answer. We find that the endogenous quality of labour bias is quantitatively more important.

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Paper provided by HAL in its series Working Papers with number halshs-00347451.

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Date of creation: 15 Dec 2008
Handle: RePEc:hal:wpaper:halshs-00347451
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