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Windows of Opportunity: Window Subseries Empirical Variance Estimators in International Relations

Heagerty, Patrick and Ward, Michael D and Gleditsch, Kristian Skrede (2002) 'Windows of Opportunity: Window Subseries Empirical Variance Estimators in International Relations.' Political Analysis, 10 (03). 304 - 317. ISSN 1047-1987

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Abstract

<jats:p>We show that temporal, spatial, and dyadic dependencies among observations complicate the estimation of covariance structures in panel databases. Ignoring these dependencies results in covariance estimates that are often too small and inferences that may be more confident about empirical patterns than is justified by the data. In this article, we detail the development of a nonparametric approach, window subseries empirical variance estimators (WSEV), that can more fully capture the impact of these dependencies on the covariance structure. We illustrate this approach in a simulation as well as with a statistical model of international conflict similar to many applications in the international relations literature.</jats:p>

Item Type: Article
Subjects: J Political Science > JA Political science (General)
Divisions: Faculty of Social Sciences > Government, Department of
Depositing User: Peter Josse
Date Deposited: 14 Feb 2015 14:33
Last Modified: 15 Nov 2018 20:15
URI: http://repository.essex.ac.uk/id/eprint/10141

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