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Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches

  • Cem Ertur


    (LEO - Laboratoire d'économie d'Orleans - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Julie Le Gallo


    (CRESE - Centre de REcherches sur les Stratégies Economiques - UFC - UFC - Université de Franche-Comté)

This paper presents various approaches dealing with heterogeneous reaction combined with interaction between neighboring units of observation developed in the spatial econometric literature, in the framework of cross-sectional models, and applied to the study of growth and convergence processes. We present the main econometric specifications capturing discrete or continuous spatial heterogeneity: the spatial regimes model and the locally linear, geographically weighted regression (GWR). We then examine how these specifications can be extended to further allow for spatial autocorrelation.

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Paper provided by HAL in its series Working Papers with number hal-00463274.

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Date of creation: 09 Sep 2008
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Handle: RePEc:hal:wpaper:hal-00463274
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