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Palgrave Handbook of Econometrics pp 1251–1290Cite as

Palgrave Macmillan

Spatial Analysis of Economic Convergence

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Abstract

This chapter reviews some of the major econometric models, approaches and issues related to the spatial dimensions of economic convergence and inequality. Key themes concern the implications of spatial dependence (autocorrelation) and heterogeneity for the specification, estimation, and interpretation of convergence models on the one hand and, on the other, the treatment of these spatial effects in the analysis of distributional dynamics and the application of related exploratory data analysis methods. We draw linkages between recent contributions in the mainstream econometric literature and developments in spatial econometrics and regional science We identify a number of areas where cross-fertilization between these fields would be beneficial.

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  1. Sergio J. Rey
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Editors and Affiliations

  1. Loughborough University, UK

    Terence C. Mills (Professor of Applied Statistics and Econometrics) (Professor of Applied Statistics and Econometrics)

  2. University of Reading, UK

    Kerry Patterson (Professor of Econometric) (Professor of Econometric)

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© 2009 Sergio J. Rey and Julie Le Gallo

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Rey, S.J., Le Gallo, J. (2009). Spatial Analysis of Economic Convergence. In: Mills, T.C., Patterson, K. (eds) Palgrave Handbook of Econometrics. Palgrave Macmillan, London. https://doi.org/10.1057/9780230244405_27

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