Applying recent developments in time series econometrics to the spatial domain.

The writer assesses recent developments in time series econometrics and examines the applicability of these developments to purely spatial and spatio-temporal data. He notes that previous vector autoregression models and methodology had purely spatial analogs, but similar to the case of traditional...

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Detalles Bibliográficos
Publicado en:Professional Geographer Vol. 52; no. 1; pp. 37 - 50
Autor principal: Stern, David I.
Formato: Artículo
Publicado: Taylor & Francis Ltd February 2000
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Applying recent developments in time series econometrics to the spatial domain.
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        au: Stern, David I.
      su:
        Econometrics
        Time series analysis
        Geography -- Methodology
        Geography -- Statistical methods
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        subj:
          Econometrics
          Time series analysis
          Geography -- Methodology
          Geography -- Statistical methods
      ab: The writer assesses recent developments in time series econometrics and examines the applicability of these developments to purely spatial and spatio-temporal data. He notes that previous vector autoregression models and methodology had purely spatial analogs, but similar to the case of traditional regression models, application of the methods will be more problematic in the spatial domain. He develops space-time cointegration and Granger causality methods and uses them to explain reductions in sulfur emissions in Europe.
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      src: R
    language: English
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