Measuring Mutual Dependence Between State Repressive Actions

Journal of Conflict Resolution, 58(6):1003-1032

30 Pages Posted: 13 Aug 2009 Last revised: 27 Jan 2015

See all articles by Christopher J. Fariss

Christopher J. Fariss

University of Michigan at Ann Arbor - Department of Political Science

Keith E. Schnakenberg

Washington University in St. Louis - Department of Political Science

Date Written: 2014

Abstract

This study explores the relationships between state violations of different human rights. Though most quantitative studies in international relations treat different types of repressive behaviors as either independent or arising from the same underlying process, significant insights are gained by conceptualizing different human rights violations as separate but dependent processes. We present a theoretical framework for conceptualizing the mechanisms relating human rights practices and produce a novel measurement strategy based on network analysis for exploring these relationships. We illustrate high levels of complementarity between most human rights practices. Substitution effects, in contrast, are occasionally substantial but relatively rare. Finally, using empirically informed Monte Carlo analyses, we present predictions regarding likely sequences of rights violations resulting in extreme violations of different physical integrity rights.

Keywords: human rights, repression, network analysis

Suggested Citation

Fariss, Christopher J. and Schnakenberg, Keith E., Measuring Mutual Dependence Between State Repressive Actions (2014). Journal of Conflict Resolution, 58(6):1003-1032, Available at SSRN: https://ssrn.com/abstract=1450050

Christopher J. Fariss (Contact Author)

University of Michigan at Ann Arbor - Department of Political Science ( email )

Ann Arbor, MI 48109
United States

Keith E. Schnakenberg

Washington University in St. Louis - Department of Political Science ( email )

One Brookings Drive
One Brookings Drive
St. Louis, MO 63130
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
273
Abstract Views
2,259
Rank
219,827
PlumX Metrics