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Panel Spatial Autocorrelation

Panel Spatial Autocorrelation measures whether observations that are geographically close also tend to have similar values across repeated time periods. It extends classic cross-sectional spatial autocorrelation statistics such as Moran's I to panel data, enabling researchers to detect spatial dependence consistently over time and to diagnose whether a panel regression model requires a spatial component.

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Panel Data Spatial Autocorrelation Analysis

Taksonoomiline meetodikirje · regression-model / spatial-analysis

Anselin, L. (2013). Spatial Econometrics: Methods and Models. Springer Netherlands. (Originally published 1988.) · ISBN 978-9401577991
Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer Berlin Heidelberg. · ISBN 978-3642403408

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Same method familyGeographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Spatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMoran's Imachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Spatial Error Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.