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R code and STAN model files that generate latent human rights scores using a dynamic ordinal item-response theory model.

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CJFariss/Human-Rights-Latent-Variable

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Human-Rights-Latent-Variable

Intro

R code and STAN model files that generate latent human rights protection scores using a dynamic ordinal item-response theory model.

Dataverse Links

  1. Human Rights Scores version 1
  2. Human Rights Scores version 2
  3. Human Rights Scores version 3
  4. Human Rights Scores version 4

References

  1. Fariss, Christopher J., Michael R. Kenwick, and Kevin Reuning. ``Estimating one-sided-killings from a Robust Measurement Model of Human Rights'' Journal of Peace Research 57(6):801-814 (November 2020).
  2. Fariss, Christopher J. ``Yes, Human Rights Practices Are Improving Over Time'' American Political Science Review 133(3):868-881 (August 2019).
  3. Fariss, Christopher J. ``Respect for Human Rights has Improved Over Time: Modeling the Changing Standard of Accountability'' American Political Science Review 108(2):297-318 (May 2014)
  4. Keith E. Schnakenberg and Christopher J. Fariss. 2014. ``Dynamic Patterns of Human Rights Practices.'' Political Science Research and Methods (Forthcoming).

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R code and STAN model files that generate latent human rights scores using a dynamic ordinal item-response theory model.

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