Statistics Seminar - Adam Kashlak - Local Statistics for Spatial Panel Models


Title: Local Statistics for Spatial Panel Models

Speaker: Adam Kashlak (University of Alberta)

Abstract: The spatial panel regression model has shown great success in modelling econometric, epidemiologic, 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. This talk will introduce 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 exogenous predictor variables included in this analysis are voter population density, median income, and percentage of the population that is non-Hispanic white.

Date/Time: Tuesday September 28, 2021, 3:30 - 4:30 

Location: Virtual 

Join Zoom Meeting

Meeting ID: 971 9900 3250
Passcode: 643951
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McMaster University - Faculty of Science | Math & Stats