Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Local Statistics for Spatial Panel Models with Application to the US
  Electorate   The spatial panel regression model has shown great success in modelling
econometric and other types of data that are observed both spatially and
temporally with associated predictor variables. However, model checking via
testing for spatial correlations in spatial-temporal residuals is still
lacking. We propose a general methodology for fast permutation testing of local
and global indicators of spatial association. This methodology extends past
statistics for univariate spatial data that can be written as a gamma index for
matrix similarity to the multivariate and panel data settings. This includes
Moran's $I$ and Geary's $C$ among others. Spatial panel models are fit and our
methodology is tested on county-wise electoral results for the five US
presidential elections from 2000 to 2016 inclusive. County-wise exongenous
predictor variables included in this analysis are voter population density,
median income, and percentage of the population that is non-Hispanic white.

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The categories of this paper are: hep-th
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The categories of this paper are: patt-sol
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The categories of this paper are: acc-phys
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The categories of this paper are: mtrl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: econ
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The categories of this paper are: gr-qc
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The categories of this paper are: eess
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: adap-org
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The categories of this paper are: hep-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: physics
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The categories of this paper are: dg-ga