Corpus ID: 231632362

Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model

@article{Schmid2021GenerativeDO,
  title={Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model},
  author={Christian S. Schmid and T. Chen and B. Desmarais},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.07197}
}
The significance and influence of US Supreme Court majority opinions derive in large part from opinions’ roles as precedents for future opinions. A growing body of literature seeks to understand what drives the use of opinions as precedents through the study of Supreme Court case citation patterns. We raise two limitations of existing work on Supreme Court citations. First, dyadic citations are typically aggregated to the case level before they are analyzed. Second, citations are treated as if… Expand
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