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Human Rights Scores Dataverse (Human Rights Scores)
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Feb 21, 2015
Fariss, Christopher, 2014, "Latent Human Rights Protection Scores Version 2", doi:10.7910/DVN/24872, Harvard Dataverse, V4, UNF:5:uYLNJHm5G1rDApL7kQzk0g==
The latent Human Rights Protection Scores (version 2) available in this section were generated using a dynamic ordinal item-response theory model discussed at length in the two papers listed below. The newest version of this model is also dynamic in the treatment of the item-diff...
Jan 25, 2015
Christopher J. Fariss; Keith E. Schnakenberg, 2012, "Replication data for: Measuring Mutual Dependence Between State Repressive Actions", hdl:1902.1/16721, Harvard Dataverse, V2
Jan 25, 2015
Keith E. Schnakenberg; Christopher J. Fariss, 2012, "Replication data for: Dynamic Patterns of Human Rights Practices", hdl:1902.1/16720, Harvard Dataverse, V2
Jan 8, 2015
Fariss, Christopher, 2014, "Replication data for: Respect for Human Rights has Improved Over Time: Modeling the Changing Standard of Accountability", doi:10.7910/DVN/25830, Harvard Dataverse, V2
According to indicators of political repression currently used by scholars, human rights practices have not improved over the past 35 years, despite the spread of human rights norms, better monitoring, and the increasing prevalence of electoral democracy. I argue that this empiri...
Mar 7, 2014
Keith Schnakenberg; Christopher Fariss, 2012, "Latent Human Rights Protection Scores Version 1", hdl:1902.1/17859, Harvard Dataverse, V4
The Latent Human Rights Scores available from this page were generated using a dynamic ordinal item-response theory model discussed at length in the paper listed below. The datasets contain country-year estimates of the mean and standard deviation of the estimated level of respec...
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