Spaces of Terror: Modeling Spatial Non-Stationarity in State-Level Repression

Joel Capellan, Jeremy R. Porter

Research output: Contribution to journalArticle

Abstract

Over the years, social scientists have amassed an impressive body of knowledge on state repression. Despite our improved understanding, this body of research implicitly assumes that the relationships between the independent variables and state sponsored repression are stationary over space. Current approaches, like OLS regression, cannot capture the spatial heterogeneity of the relationships and may lead to public policy inferences that are poorly specified or completely wrong for some countries. The purpose of the paper is to reexamine the repression model using geographically-weighted regression. We found significant variation in the goodness of fit of the model and strength of coefficients. A closer evaluation of the geographically varying results reveals that these variations have a distinct spatial trend, suggesting processes that might otherwise have gone undetected due to traditional 'global' results.

Original languageEnglish (US)
Pages (from-to)245-258
Number of pages14
JournalApplied Spatial Analysis and Policy
Volume7
Issue number3
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

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repression
terrorism
modeling
regression
social scientist
public policy
trend
evaluation
knowledge

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development

Cite this

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Spaces of Terror : Modeling Spatial Non-Stationarity in State-Level Repression. / Capellan, Joel; Porter, Jeremy R.

In: Applied Spatial Analysis and Policy, Vol. 7, No. 3, 01.01.2014, p. 245-258.

Research output: Contribution to journalArticle

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