This paper develops a framework to analyze partial population experiments, a generalization of the cluster experimental design where clusters are assigned to different treatment intensities. The framework allows for heterogeneity in cluster sizes and outcome distributions. The paper studies the large-sample behavior of OLS estimators and cluster-robust variance estimators and shows that (i) ignoring cluster heterogeneity may result in severely underpowered...
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INFORMATION
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2025/02/06
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Document de travail de recherche sur les politiques
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WPS11059
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1
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2025/02/06
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Disclosed
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Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance