IDEAS home Printed from https://ideas.repec.org/a/bpj/causin/v12y2024i1p16n1002.html
   My bibliography  Save this article

Direct, indirect, and interaction effects based on principal stratification with a binary mediator

Author

Listed:
  • Lee Myoung-jae

    (Department of Finance, Accounting & Economics, University of Nottingham Ningbo China, Ningbo 315100, China)

Abstract

Given a binary treatment and a binary mediator, mediation analysis decomposes the total effect of the treatment on an outcome variable into various sub-effects, and there appeared two-, three-, and four-way decompositions in the literature. Using “principal stratification” based on the potential mediator types, we consider sub-treatment effects for “mediative never-takers, compliers, defiers, and always takers.” In this approach, although it is difficult to pick any one decomposition over the others in general, a particular three-way decomposition becomes well suited, which is thus advocated to use. We present identification conditions for the effects using conditional means, which is then followed by simple estimators that are applicable to any outcome variable (binary, count, continuous, etc.). We also provide simulation and empirical studies.

Suggested Citation

  • Lee Myoung-jae, 2024. "Direct, indirect, and interaction effects based on principal stratification with a binary mediator," Journal of Causal Inference, De Gruyter, vol. 12(1), pages 1-16.
    • Handle: RePEc:bpj:causin:v:12:y:2024:i:1:p:16:n:1002
    DOI: 10.1515/jci-2023-0025
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jci-2023-0025
    Download Restriction: no
    File URL: https://libkey.io/10.1515/jci-2023-0025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Choi, Jin-young & Lee, Myoung-jae, 2018. "Regression Discontinuity with Multiple Running Variables Allowing Partial Effects," Political Analysis, Cambridge University Press, vol. 26(3), pages 258-274, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lv, Xiaofeng & Sun, Xu-Ran & Lu, Yue & Li, Rui, 2019. "Nonparametric identification and estimation of dynamic treatment effects for survival data in a regression discontinuity design," Economics Letters, Elsevier, vol. 184(C).
    2. Goeun Lee & Myoung-jae Lee, 2023. "Regression Discontinuity for Binary Response and Local Maximum Likelihood Estimator to Extrapolate Treatment," Evaluation Review, , vol. 47(2), pages 182-208, April.
    3. Florian Gunsilius & David Van Dijcke, 2023. "Free Discontinuity Regression: With an Application to the Economic Effects of Internet Shutdowns," Papers 2309.14630, arXiv.org, revised Jan 2024.
    4. Tiantian Dai & Shenyi Jiang & Xiangbo Liu & Ang Sun, 2022. "The effects of a hypertension diagnosis on health behaviors: A two‐dimensional regression discontinuity analysis," Health Economics, John Wiley & Sons, Ltd., vol. 31(4), pages 574-596, April.
    5. Choi, Jin-young & Lee, Myoung-jae, 2023. "Complier and monotonicity for Fuzzy Multi-score Regression Discontinuity with partial effects," Economics Letters, Elsevier, vol. 228(C).
    6. Reboredo, Juan C. & Otero, Luis A., 2021. "Are investors aware of climate-related transition risks? Evidence from mutual fund flows," Ecological Economics, Elsevier, vol. 189(C).
    7. Giuseppe Francesco Gori & Patrizia Lattarulo & Marco Mariani, 2021. "The Expediting Effect of Monitoring on Infrastructural Works. A Regression-Discontinuity Approach with Multiple Assignment Variables," Papers 2102.09625, arXiv.org.
    8. Sun Zhaohan & Zhu Yeying & Dubin Joel A., 2024. "Estimation of network treatment effects with non-ignorable missing confounders," Journal of Causal Inference, De Gruyter, vol. 12(1), pages 1-16.
    9. Yiqi Liu & Yuan Qi, 2023. "Using Forests in Multivariate Regression Discontinuity Designs," Papers 2303.11721, arXiv.org, revised Jul 2024.
    10. Amal Ahmad, 2024. "Transfers and the rise of Hindu nationalism in India," Discussion Papers 2024-08, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:causin:v:12:y:2024:i:1:p:16:n:1002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.