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Economic integration: less data, more room for regional modelling?

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  • D'Artis Kancs

    ()

  • Olga Ivanova

    ()

  • Andries Brandsma

    ()

  • Ben Gardiner

Abstract

One of the major constrains of modelling economic integration at regional level is the availability of economic data. Whereas national accounts and international trade data are largely based on actual observations, regional data are generated by a variety of methods using relatively few real data points. The present paper reviews alternative methods to do so. We illustrate their empirical implementation by the experience of building a prototype for the regional economic model (Rhomolo) that is being developed for the European Commission. We show that linking Rhomolo to the datasets of models such as Transtools and E3ME greatly enhances the operability of the model, leaving open the question of how much real regional content is reflected in the simulations.

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Bibliographic Info

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa10p500.

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Date of creation: Sep 2011
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Handle: RePEc:wiw:wiwrsa:ersa10p500

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Cited by:
  1. D'Artis Kancs & Enrique Lopez-Bazo & Fabio Manca & Damiaan Persyn, 2012. "Modelling Migration and Regional Labour Markets: An Application of New Economic Geography Model Rhomolo," ERSA conference papers ersa12p808, European Regional Science Association.
  2. James Anderson, 2001. "Migration, FDI, and the Margins of Trade," EERI Research Paper Series EERI_RP_2001_05, Economics and Econometrics Research Institute (EERI), Brussels.

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