Replication Data for: The Construction of Human Rights: Accounting for Systematic Bias in Common Human Rights Measures
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Empirical human rights researchers frequently rely on indexes of physical integrity rights created by the Cingranelli-Richards (CIRI) or the Political Terror Scale (PTS) data projects. Any systematic bias contained within a component used to create CIRI and PTS carries over to the final index. We investigate potential bias in these indexes by comparing differences between PTS scores constructed from different sources, the United States State Department (SD) and Amnesty International (AI). In order to establish best practices, we offer two solutions for addressing bias. First, we recommend excluding data before 1980. The data prior to 1980 are truncated because the SD only created reports for current and potential foreign aid recipients. Including these data with the more systematically included post-1980 data is a key source of bias. Ou' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Bias","Human Rights","Instrumental Variables","Truncation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Empirical human rights researchers frequently rely on indexes of physical integrity rights created by the Cingranelli-Richards (CIRI) or the Political Terror Scale (PTS) data projects. Any systematic bias contained within a component used to create CIRI and PTS carries over to the final index. We investigate potential bias in these indexes by comparing differences between PTS scores constructed from different sources, the United States State Department (SD) and Amnesty International (AI). In order to establish best practices, we offer two solutions for addressing bias. First, we recommend excluding data before 1980. The data prior to 1980 are truncated because the SD only created reports for current and potential foreign aid recipients. Including these data with the more systematically included post-1980 data is a key source of bias. Ou' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Empirical human rights researchers frequently rely on indexes of physical integrity rights created by the Cingranelli-Richards (CIRI) or the Political Terror Scale (PTS) data projects. Any systematic bias contained within a component used to create CIRI and PTS carries over to the final index. We investigate potential bias in these indexes by comparing differences between PTS scores constructed from different sources, the United States State Department (SD) and Amnesty International (AI). In order to establish best practices, we offer two solutions for addressing bias. First, we recommend excluding data before 1980. The data prior to 1980 are truncated because the SD only created reports for current and potential foreign aid recipients. Including these data with the more systematically included post-1980 data is a key source of bias. Ou
Bias; Human Rights; Instrumental Variables; Truncation