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: spatial econometrics; heterogeneity; spatial autocorrelation; Econométrie spatiale; hétérogénéité; autocorrélation spatiale (search for similar items in EconPapers)
Date: 2008-09-09
Note: View the original document on HAL open archive server: https://hal.science/hal-00463274v1
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Citations: View citations in EconPapers (3)

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Related works:
Working Paper: Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches (2009)
Working Paper: Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches (2008)
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