Corpus ID: 123176726

The Benefits of Probability-Proportional-to-Size Sampling in Cluster-Randomized Experiments

@article{Xiong2014TheBO,
  title={The Benefits of Probability-Proportional-to-Size Sampling in Cluster-Randomized Experiments},
  author={Y. Xiong and Michael J. Higgins},
  journal={arXiv: Methodology},
  year={2014}
}
In a cluster-randomized experiment, treatment is assigned to clusters of individual units of interest‐households, classrooms, villages, etc.‐instead of the units themselves. The number of clusters sampled and the number of units sampled within each cluster is typically restricted by a budget constraint. Previous analysis of cluster randomized experiments under the NeymanRubin potential outcomes model of response have assumed a simple random sample of clusters; estimators of the population… Expand
A cautionary note on the Hanurav-Vijayan sampling algorithm

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