Subgroup Analysis in Social Experiments: Measuring Program Impacts Based on Post-Treatment Choice

@article{Peck2003SubgroupAI,
  title={Subgroup Analysis in Social Experiments: Measuring Program Impacts Based on Post-Treatment Choice},
  author={Laura R. Peck},
  journal={American Journal of Evaluation},
  year={2003},
  volume={24},
  pages={157 - 187}
}
  • Laura R. Peck
  • Published 1 June 2003
  • Computer Science
  • American Journal of Evaluation
A fundamental question within the field of program evaluation is “Do social programs work?” Although experiments allow us to answer this question with certainty, they have some limitations. Experiments generate mean program impacts and even mean impacts by subgroup, but they often leave unexplored the impacts on subgroups determined by treatment use. This work proposes a methodology for analyzing the impacts of social programs on previously unexamined subgroups. Rather than using a single trait… 

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