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Dots To Boxes: Do The Size And Shape Of Spatial Units Jeopardize Economic Geography Estimations?

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Author Info

  • Anthony Briant

    ()
    (PSE - Paris-Jourdan Sciences Economiques - CNRS : UMR8545 - École des Hautes Études en Sciences Sociales (EHESS) - École des Ponts ParisTech (ENPC) - École normale supérieure [ENS] - Paris)

  • Pierre-Philippe Combes

    ()
    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - Université de la Méditerranée - Aix-Marseille II - Université Paul Cézanne - Aix-Marseille III - École des Hautes Études en Sciences Sociales (EHESS) - CNRS : UMR6579)

  • Miren Lafourcade

    (PSE - Paris-Jourdan Sciences Economiques - CNRS : UMR8545 - École des Hautes Études en Sciences Sociales (EHESS) - École des Ponts ParisTech (ENPC) - École normale supérieure [ENS] - Paris)

Abstract

This paper evaluates, in the context of economic geography estimates, the magnitude of the distortions arising from the choice of zoning system, which is also known as the Modifiable Areal Unit Problem (MAUP). We consider three standard economic geography exercises (the analysis of spatial concentration, agglomeration economies, and trade determinants), using various French zoning systems differentiated according to the size and shape of spatial units, which are the two main determinants of the MAUP. While size matters a little, shape does so much less. Both dimensions seem to be of secondary importance compared to specification issues.

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Bibliographic Info

Paper provided by HAL in its series Working Papers with number halshs-00349294.

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Date of creation: 28 Dec 2008
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Handle: RePEc:hal:wpaper:halshs-00349294

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Related research

Keywords: MAUP; concentration; agglomeration; wage equations; gravity;

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References

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  1. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2008. "Spatial wage disparities: Sorting matters!," Journal of Urban Economics, Elsevier, vol. 63(2), pages 723-742, March.
  2. James E. Rauch, 2001. "Business and Social Networks in International Trade," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1177-1203, December.
  3. John M. Abowd & Francis Kramarz & Sébastien Roux, 2006. "Wages, Mobility and Firm Performance: Advantages and Insights from Using Matched Worker-Firm Data," Economic Journal, Royal Economic Society, vol. 116(512), pages F245-F285, 06.
  4. Wagner, Don & Head, Keith & Ries, John, 2002. "Immigration and the Trade of Provinces," Scottish Journal of Political Economy, Scottish Economic Society, vol. 49(5), pages 507-25, December.
  5. Hanson, G.H., 1999. "`Market Potential, Increasing Returns, and Geographic Concentration," Working Papers 439, Research Seminar in International Economics, University of Michigan.
  6. Glenn Ellison & Edward L. Glaeser, 1994. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," NBER Working Papers 4840, National Bureau of Economic Research, Inc.
  7. Combes, Pierre-Philippe & Lafourcade, Miren & Mayer, Thierry, 2005. "The trade-creating effects of business and social networks: evidence from France," Journal of International Economics, Elsevier, vol. 66(1), pages 1-29, May.
  8. C G Amrhein, 1995. "Searching for the elusive aggregation effect: evidence from statistical simulations," Environment and Planning A, Pion Ltd, London, vol. 27(1), pages 105-119, January.
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Cited by:
  1. repec:dgr:uvatin:2011050 is not listed on IDEAS
  2. Suzanne Kok, 2013. "Matching worker skills to job tasks in the Netherlands: Sorting into cities for better careers," CPB Discussion Paper 247, CPB Netherlands Bureau for Economic Policy Analysis.
  3. Arauzo Carod, Josep Maria & Manjón Antolín, Miguel C., 2009. "(Optimal) Spatial Aggregation in the Determinants of Industrial Location," Working Papers 2072/42866, Universitat Rovira i Virgili, Department of Economics.

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