A Selection Bias Approach to Sensitivity Analysis for Causal Effects
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Cited by:
- Acharya, Avidit & Blackwell, Matthew & Sen, Maya, 2016.
"Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects,"
American Political Science Review, Cambridge University Press, vol. 110(3), pages 512-529, August.
- Acharya, Avidit & Blackwell, Matthew & Sen, Maya, 2015. "Explaining Causal Findings without Bias: Detecting and Assessing Direct Effects," Working Paper Series 15-064, Harvard University, John F. Kennedy School of Government.
- Christoph Dworschak, 2024. "Bias mitigation in empirical peace and conflict studies: A short primer on posttreatment variables," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(3), pages 462-476, May.
- Harsh Parikh & Marco Morucci & Vittorio Orlandi & Sudeepa Roy & Cynthia Rudin & Alexander Volfovsky, 2023. "A Double Machine Learning Approach to Combining Experimental and Observational Data," Papers 2307.01449, arXiv.org, revised Apr 2024.
- Reeves, Aaron, 2021. "The health effects of wage setting institutions: how collective bargaining improves health but not because it reduces inequality," LSE Research Online Documents on Economics 113422, London School of Economics and Political Science, LSE Library.
- Allan Dafoe, 2018. "Nonparametric Identification of Causal Effects under Temporal Dependence," Sociological Methods & Research, , vol. 47(2), pages 136-168, March.
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