因果推断五十年：成就、挑战与应对

许琪

PDF
Cite
Share

facebook

twitter

google

linkedin

November 2024

Article Contents

Citation: XU Qi. Fifty Years of Causal Inference:Achievements,Challenges,and Responses[J]. Academic Monthly, 2024, 56(11): 131-144. shu

Fifty Years of Causal Inference:Achievements,Challenges,and Responses

XU Qi

Abstract

In the 50 years since Rubin causal model was introduced,significant progress has been made in the theoretical understanding and analytical methods of causality,leading to a marked increase in empirical research using causal inference methods.Despite these achievements,the model faces various challenges and limitations.One such limitation is its inability to ensure the random assignment assumption when applied to observational studies.Furthermore,the model overlooks the substantive importance of the research problem in its pursuit of satisfying the criterion of approximate random assignment.In addition,the model is deficient in analyzing the causes of effects and identifying causal mechanisms.To address these challenges,researchers must not only enhance the quantitative research design but also conscientiously integrate and learn from qualitative analysis tools.This organic combination of qualitative and quantitative methods is imperative for conducting thorough and comprehensive analyses of causality.
- causal inference,Rubin causal model,observational study,causal effect,causal mechanism
References
Access
1. [1]
  ZHANG Yi . Cognitive Transformation in Historical Research in the Age of AI——“Fluency-Induced Occlusion” in LLM-Assisted Reading of Diplomatic Manuscripts. Academic Monthly, 2026, 58(8): 29-40.
2. [2]
  HE Da'an , LI Huaizheng . Digital Adjustment Mechanism in the Application of Artificial General Intelligence. Academic Monthly, 2026, 58(7): 54-63.
3. [3]
  YU Jianxing , LIU Yuxuan . Beyond the Outside Observer: Repositioning the Social Sciences in the Era of Large Language Models. Academic Monthly, 2026, 58(7): 77-89.
4. [4]
  XIE Yue . How State Capacity Is Generated in Practice——A Dynamic Equilibrium Model of Governance. Academic Monthly, 2026, 58(8): 106-117.
5. [5]
  ZHAO Lin , ZHANG Boyu , LIANG Hua . The Relationship Between Monopoly and Innovation in Information Product Markets——A Growth Network Perspective. Academic Monthly, 2026, 58(7): 64-76.
6. [6]
  LIAO Han . Popular Religion and the Formation of Local Culture——Research on the Belief in Ge Xian'gong in Northeastern Jiangxi since the Song and Yuan Dynasties. Academic Monthly, 2026, 58(7): 195-205.
7. [7]
  ZHOU Mujun . Between Theory and Empirical Facts: Habermas and the Sociological Debate on the Public Sphere. Academic Monthly, 2026, 58(8): 157-170.
8. [8]
  LIN Xifen , FU Zhangyi . How Does Public Trust in the Judiciary Shape Acceptability of Judges' AI-assisted Adjudications——An Empirical Study Based on Questionnaire Data. Academic Monthly, 2026, 58(8): 133-144.
9. [9]
  LU Mingjun . Simulacra, Pattern Recognition, and Computational Formalism——Reflections on the Application of AI in Artistic Practice and Art History Research. Academic Monthly, 2026, 58(8): 41-55.

Get Citation

PDF

XML

Entire Issue PDF

Article Metrics

Article views: 3706 Times PDF downloads: 81 Times Cited by: 0 Times

Metrics

PDF Downloads(81)
Abstract views(3706)
HTML views(1131)

Latest
Most Read
Most Cited

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Fifty Years of Causal Inference:Achievements,Challenges,and Responses

XU Qi

Abstract: In the 50 years since Rubin causal model was introduced,significant progress has been made in the theoretical understanding and analytical methods of causality,leading to a marked increase in empirical research using causal inference methods.Despite these achievements,the model faces various challenges and limitations.One such limitation is its inability to ensure the random assignment assumption when applied to observational studies.Furthermore,the model overlooks the substantive importance of the research problem in its pursuit of satisfying the criterion of approximate random assignment.In addition,the model is deficient in analyzing the causes of effects and identifying causal mechanisms.To address these challenges,researchers must not only enhance the quantitative research design but also conscientiously integrate and learn from qualitative analysis tools.This organic combination of qualitative and quantitative methods is imperative for conducting thorough and comprehensive analyses of causality.

HTML

Relative (9)

DownLoad: Full-Size Img PowerPoint

Return

Fifty Years of Causal Inference:Achievements,Challenges,and Responses

Abstract

References

Access

Article Metrics

Metrics

通讯作者: 陈斌, bchen63@163.com

Fifty Years of Causal Inference:Achievements,Challenges,and Responses

HTML

目录