Informational separability and entropy

• 成果类型: Article
• 署名作者: Tian, Jianrong
• 署名单位: Peking University
• 刊物名称: JOURNAL OF ECONOMIC THEORY
• ISSN/ISSBN: 0022-0531
• DOI: 10.1016/j.jet.2024.105796
• 发表日期: 2024
• 关键词: information suppression; Informational separability; Shannon entropy; Invariance; Segregation measurement; Inference with partial information

摘要

Informational separability occurs when information decreases as the result of suppressing information that differentiates a subset of states in experiments. With multiple states, informational separability leads to entropy measures. Its implications in multiple different contexts are discussed, including segregation measurement, inference with partial information, and rational inattention.