Professor GUILLERMO CRUCES Guillermo.Cruces@nottingham.ac.uk
PROFESSOR OF ECONOMICS
Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance
Cruces, Guillermo; Tortarolo, Dario; Vazquez-Bare, Gonzalo
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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Design of Partial Population Experiments
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