Issues to consider around using repeated cross-sections in a clustered experiment
In this blog, co-authored by Sarah Baird and Jennifer Seager, they explore the use of repeated cross-sections in clustered experiments.
In a cluster-level RCT, assignment to treatment is randomised at the level of a community, school, clinic, or other cluster. The standard practice is to then conduct a baseline survey of units (households, students, patients, etc.) and then re-interview these same individuals in a follow-up survey. But in an experiment that Sarah and Jennifer are currently designing, repeated cross-sectional surveys of community members are instead being considered. Upon reflection, this is a situation that may arise in a broader variety of clustered experiments, and in this blog they discuss some of the design issues and considerations that arise.
This blog was originally published on World Bank Blogs on 10 June 2024.
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