Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches
Cem Ertur and
Julie Le Gallo ()
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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)
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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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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-00463274
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