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Agglomeration within and between regions: Two econometric based indicators

  • Valter Di Giacinto

    ()

    (Bank of Italy, L�Aquila Branch, Economic Research Unit)

  • Marcello Pagnini

    ()

    (Bank of Italy, Bologna Branch, Economic Research Unit)

We propose two indexes to measure the agglomeration forces acting within and between different regions. Unlike the existing measures of agglomeration, our model-based indexes allow for simultaneous treatment of both aspects. Local plant diffusion in a given industry is modelled as a spatial error components process (SEC). Maximum likelihood inference on model parameters is dealt with, including the problem of data censoring. The statistical properties of standard agglomeration indexes in the data environment provided by our SEC model are then treated. Finally, our methodology is applied to Italian census data for both manufacturing and service industries.

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Paper provided by Bank of Italy, Economic Research and International Relations Area in its series Temi di discussione (Economic working papers) with number 674.

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Date of creation: Jun 2008
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Handle: RePEc:bdi:wptemi:td_674_08
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  1. Michael Devereux & Rachel Griffith & Helen Simpson, 1999. "The geographic distribution of production activity in the UK," IFS Working Papers W99/26, Institute for Fiscal Studies.
  2. Gilles Duranton & Henry G. Overman, 2005. "Testing for localization using micro-geographic data," LSE Research Online Documents on Economics 581, London School of Economics and Political Science, LSE Library.
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  11. Paulo Guimarães & Octávio Figueiredo & Douglas Woodward, 2004. "Measuring the Localization of Economic Activity: A Random Utility Approach," FEP Working Papers 161, Universidade do Porto, Faculdade de Economia do Porto.
  12. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
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  15. Maurel, Francoise & Sedillot, Beatrice, 1999. "A measure of the geographic concentration in french manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 29(5), pages 575-604, September.
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