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Latent Human Rights Scores Version 1

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DataCite Commons2025-05-12 更新2025-05-17 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/YGKBSH
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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 respect for physical integrity rights and empowerment rights for each year in which the constituent CIRI human rights indicators were available. See the CIRI Human Rights Data Project for more information on these indicators. The latent estimates allow for measurement uncertainty to be included in models that use human rights as a predictor variable. Also available are datasets that contain the last 1000 draws from the posterior distribution from both the dynamic ordinal item-response theory model and the ordinal item-response theory model. Detailed information about these models and other scaling techniques are discussed in the paper. We will also post full replication files once the paper has been accepted for publication. The JAGS code used to estimate the models are available in the Appendix section of the article. Please contact us if you have any questions: cjf0006@gmail.com, keschnak@wustl.edu.
提供机构:
Harvard Dataverse
创建时间:
2019-05-20
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