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Generalized Causal Mediation Analysis

Citations

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Cited by:

  1. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
  2. R. M. Daniel & B. L. De Stavola & S. N. Cousens & S. Vansteelandt, 2015. "Causal mediation analysis with multiple mediators," Biometrics, The International Biometric Society, vol. 71(1), pages 1-14, March.
  3. Zongwu Cai & Jinyan Li, 2025. "Mediation Analysis of the China-US Trade War Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202603, University of Kansas, Department of Economics, revised Jan 2026.
  4. Soojin Park & Kevin M. Esterling, 2021. "Sensitivity Analysis for Pretreatment Confounding With Multiple Mediators," Journal of Educational and Behavioral Statistics, , vol. 46(1), pages 85-108, February.
  5. Xu Qin & Jonah Deutsch & Guanglei Hong, 2021. "Unpacking Complex Mediation Mechanisms And Their Heterogeneity Between Sites In A Job Corps Evaluation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(1), pages 158-190, January.
  6. Xu Qin & Guanglei Hong, 2017. "A Weighting Method for Assessing Between-Site Heterogeneity in Causal Mediation Mechanism," Journal of Educational and Behavioral Statistics, , vol. 42(3), pages 308-340, June.
  7. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
  8. Aleksei Opacic, 2025. "Where Do the Returns to Schooling Come From? Educational Transitions and Labor Market Payoffs," Papers 2508.13366, arXiv.org, revised Jul 2026.
  9. Helmut Farbmacher & Martin Huber & Lukáš Lafférs & Henrika Langen & Martin Spindler, 2022. "Causal mediation analysis with double machine learning [Mediation analysis via potential outcomes models]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 277-300.
  10. Samuel D. Lendle & Meenakshi S. Subbaraman & Mark J. van der Laan, 2013. "Identification and Efficient Estimation of the Natural Direct Effect among the Untreated," Biometrics, The International Biometric Society, vol. 69(2), pages 310-317, June.
  11. Martin Huber & Lukáš Lafférs, 2022. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1141-1163, November.
  12. Loni Berkowitz & Camila Mateo & Cristian Salazar & Bárbara Samith & Daniela Sara & Victoria Pinto & Ximena Martínez & Mariana Calzada & Andrea von Schultzendorff & Nuria Pedrals & Marcela Bitran & Gua, 2023. "Healthy Eating as Potential Mediator of Inverse Association between Purpose in Life and Waist Circumference: Emerging Evidence from US and Chilean Cohorts," IJERPH, MDPI, vol. 20(23), pages 1-14, November.
  13. Bokhari, Farasat A.S. & Dobson, Paul W. & Morciano, Marcello & Suhrcke, Marc, 2023. "Banning volume discounts to curb excessive consumption: A cautionary tale," European Economic Review, Elsevier, vol. 156(C).
  14. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
  15. Martin Huber & Mark Schelker & Anthony Strittmatter, 2022. "Direct and Indirect Effects based on Changes-in-Changes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 432-443, January.
  16. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
  17. Guanglei Hong & Fan Yang & Xu Qin, 2023. "Posttreatment confounding in causal mediation studies: A cutting‐edge problem and a novel solution via sensitivity analysis," Biometrics, The International Biometric Society, vol. 79(2), pages 1042-1056, June.
  18. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
  19. Hsu Yu-Chin & Huber Martin & Lai Tsung-Chih, 2019. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
  20. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
  21. Qingzhao Yu & Wentao Cao & Diana Hamer & Norman Urbanek & Susanne Straif-Bourgeois & Stephania A. Cormier & Tekeda Ferguson & Jennifer Richmond-Bryant, 2023. "Associations of COVID-19 Hospitalizations, ICU Admissions, and Mortality with Black and White Race and Their Mediation by Air Pollution and Other Risk Factors in the Louisiana Industrial Corridor, March 2020–August 2021," IJERPH, MDPI, vol. 20(5), pages 1-14, March.
  22. Zongwu Cai & Jinyan Li, 2025. "Mediation Analysis of the China-US Trade War Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202512, University of Kansas, Department of Economics.
  23. Pearl Judea, 2011. "Principal Stratification -- a Goal or a Tool?," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-13, March.
  24. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
  25. Brandie D. Wagner & Miranda Kroehl & Ryan Gan & Susan K. Mikulich-Gilbertson & Scott D. Sagel & Paula D. Riggs & Talia Brown & Janet Snell-Bergeon & Gary O. Zerbe, 2018. "A Multivariate Generalized Linear Model Approach to Mediation Analysis and Application of Confidence Ellipses," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(1), pages 139-159, April.
  26. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
  27. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
  28. Wei Wang & Jeffrey M. Albert, 2017. "Causal mediation analysis for the Cox proportional hazards model with a smooth baseline hazard estimator," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 741-757, August.
  29. Tyler J. VanderWeele & Eric J. Tchetgen Tchetgen, 2017. "Mediation analysis with time varying exposures and mediators," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 917-938, June.
  30. Haoyu Wei & Hengrui Cai & Chengchun Shi & Rui Song, 2024. "On Efficient Inference of Causal Effects with Multiple Mediators," Papers 2401.05517, arXiv.org.
  31. Chanmin Kim & Michael J. Daniels & Bess H. Marcus & Jason A. Roy, 2017. "A framework for Bayesian nonparametric inference for causal effects of mediation," Biometrics, The International Biometric Society, vol. 73(2), pages 401-409, June.
  32. Grenet, Julien & Grönqvist, Hans & Niknami, Susan, 2024. "The effects of electronic monitoring on offenders and their families," Journal of Public Economics, Elsevier, vol. 230(C).
  33. Xiang Zhou, 2022. "Semiparametric estimation for causal mediation analysis with multiple causally ordered mediators," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 794-821, July.
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