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Causality, Uncertainty and Identification: Three Issues on the Spatial Econometrics Agenda

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  • Jes?s Mur

Abstract

This paper offers a personal view on recent developments in the field of spatial econometrics. The approach is subjective and certainly biased. I focus on three issues that I consider of the utmost importance and which are at the basis of the discipline, namely spatial causality, the question of identification in spatial models, and the problem of selecting the (most appropriate) spatial weighting matrix. These three topics are receiving increasing attention in the spatial econometrics literature, although there are still many issues to be resolved. They will most likely be areas of intense activity in the near future.

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  • Jes?s Mur, 2013. "Causality, Uncertainty and Identification: Three Issues on the Spatial Econometrics Agenda," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2013(1), pages 5-27.
    • Handle: RePEc:fan:scresc:v:html10.3280/scre2013-001001
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    More about this item

    Keywords

    Causalit? spaziale; matrice dei pesi; identificazione; econometria spaziale Classificazione;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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