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Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance

Cruces, Guillermo; Tortarolo, Dario; Vazquez-Bare, Gonzalo

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Authors

Dario Tortarolo

Gonzalo Vazquez-Bare



Abstract

We develop a framework to analyze partial population experiments, a generalization of the cluster experimental design where clusters are assigned to different treatment intensities. Our framework allows for heterogeneity in cluster sizes and outcome distributions. We study the large-sample behavior of OLS estimators and cluster-robust variance estimators and show that (i) ignoring cluster heterogeneity may result in severely underpowered experiments and (ii) the cluster-robust variance estimator may be upward-biased when clusters are heterogeneous. We derive formulas for power, minimum detectable effects, and optimal cluster assignment probabilities. All our results apply to cluster experiments, a particular case of our framework. We set up a potential outcomes framework to interpret the OLS estimands as causal effects. We implement our methods in a large-scale experiment to estimate the direct and spillover effects of a communication campaign on property tax compliance. We find an increase intax compliance among individuals directly targeted with our mailing, as well as compliance spillovers on untreated individuals in clusters with a high proportion of treated taxpayers.

Citation

Cruces, G., Tortarolo, D., & Vazquez-Bare, G. (2025). Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance. Review of Economics and Statistics, https://doi.org/10.1162/rest_a_01552

Journal Article Type Article
Acceptance Date Dec 9, 2024
Online Publication Date Jan 28, 2025
Publication Date Jan 28, 2025
Deposit Date Aug 6, 2024
Publicly Available Date Jan 28, 2025
Journal Review of Economics and Statistics
Print ISSN 0034-6535
Electronic ISSN 1530-9142
Publisher Massachusetts Institute of Technology Press (MIT Press)
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1162/rest_a_01552
Public URL https://nottingham-repository.worktribe.com/output/38107281
Publisher URL https://direct.mit.edu/rest/article-abstract/doi/10.1162/rest_a_01552/127746/Design-of-Partial-Population-Experiments-with-an?redirectedFrom=fulltext

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