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

Cem Ertur and Julie Le Gallo ()

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Abstract: 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.

Keywords: Econométrie spatiale; hétérogénéité; autocorrélation spatiale; spatial econometrics; heterogeneity; spatial autocorrelation (search for similar items in EconPapers)
Date: 2009
Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00463279
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Published in Roberta Capello, Peter Nijkamp. Handbook of Regional Growth and Development Theories, Eward Elgar, pp.374-388, 2009

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Working Paper: Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches (2008) Downloads
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