Treatment Effect Heterogeneity
Jeffrey Smith
Evaluation Review, 2022, vol. 46, issue 5, 652-677
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.
Keywords: program evaluation; treatment effects; essential heterogeneity (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0193841X221090731 (text/html)
Related works:
Working Paper: Treatment Effect Heterogeneity (2022) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:46:y:2022:i:5:p:652-677
DOI: 10.1177/0193841X221090731
Access Statistics for this article
More articles in Evaluation Review
Bibliographic data for series maintained by SAGE Publications ().