Identifiability of causal effect for a simple causal model

作     者：郑忠国 童行伟 张艳艳 

作者机构：Dept. of Probability and Statistics Peking University Beijing 100871 China Tianjin Normal University Tianjin 301700 China 

出 版 物：《Science China Mathematics》 (中国科学：数学（英文版）)

年 卷 期：2002年第45卷第3期

页      面：335-341页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

基　　金：This work was supported by the National Natural Science Foundation of China (Grant Nos. 39930160  19871003) 

主　　题：directed acyclic graph, intervention, causal effects, ancillary information, ignorability,replaceability. 

摘      要：Counterfactual model is put forward to discuss the causal inference in the directed acyclic graph and its corresponding identifiability is thus studied with the ancillary information based on conditional independence. It is shown that the assumption of ignorability can be expanded to the assumption of replaceability,under which the causal efiects are identifiable.