IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v46y2022i5p652-677.html

Treatment Effect Heterogeneity

Author

Listed:
  • Jeffrey Smith

Abstract

This paper considers recent methodological developments in the treatment effects literature, describes their value for applied evaluation work, and suggests next steps. It pays particular attention to documenting the presence of treatment effect heterogeneity, to the quest to attach treatment effect heterogeneity to particular subgroups and other moderators, and to the recent application of machine learning methods in this domain.

Suggested Citation

  • Jeffrey Smith, 2022. "Treatment Effect Heterogeneity," Evaluation Review, , vol. 46(5), pages 652-677, October.
    • Handle: RePEc:sae:evarev:v:46:y:2022:i:5:p:652-677
    DOI: 10.1177/0193841X221090731
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X221090731
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X221090731?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
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raphael Brade, 2024. "Social Information and Educational Investment—Nudging Remedial Math Course Participation," Education Finance and Policy, MIT Press, vol. 19(1), pages 106-142, Winter.
    2. Wei‐Wen Lai & Chia‐Hsuan Wu & Meng‐Chun Liu & Jiann‐Chyuan Wang, 2024. "Evaluating Taiwan's economic and labour market recovery strategies against COVID‐19," Australian Economic Papers, Wiley Blackwell, vol. 63(4), pages 687-711, December.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

    Statistics

    Access and download statistics

    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:sae:evarev:v:46:y:2022:i:5:p:652-677. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: SAGE Publications (email available below). General contact details of provider: .

    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.