2025
Fast computation of exact confidence intervals for randomized experiments with binary outcomes
Aronow P, Chang H, Lopatto P. Fast computation of exact confidence intervals for randomized experiments with binary outcomes. Journal Of Econometrics 2025, 251: 106056. DOI: 10.1016/j.jeconom.2025.106056.Peer-Reviewed Original ResearchGeneral caseCentral limit theoremLarge-sample approximationsBinary outcomesPermutation testAverage causal effectLimit theoremRandomized experimentBalanced caseMinimal assumptionsBalanced designsConfidence intervalsPermutationCausal effectsComputational gainsSample sizeTheoremFast computationEstimandsApproximationIntervalAssumptionsRelative risk ratiosConstructionDesign-based inference for spatial experiments under unknown interference
Wang Y, Samii C, Chang H, Aronow P. Design-based inference for spatial experiments under unknown interference. The Annals Of Applied Statistics 2025, 19 DOI: 10.1214/24-aoas1986.Peer-Reviewed Original ResearchNonparametric identification is not enough, but randomized controlled trials are
Aronow P, Robins J, Saarinen T, Sävje F, Sekhon J. Nonparametric identification is not enough, but randomized controlled trials are. Observational Studies 2025, 11: 3-16. PMID: 40487083, PMCID: PMC12139723, DOI: 10.1353/obs.2025.a956837.Peer-Reviewed Original ResearchPropensity score functionResults of RobinsValid confidence intervalsAverage treatment effectParametric rateScoring functionContinuous confoundersNonparametric identificationUnconfoundedness assumptionBinary outcomesStatistical estimationObservational settingPropensity scoreAssumptionsEstimationConfidence intervalsPropensityRobinTreatment effectsFunctionInferenceRejoinder: Nonparametric identification is not enough, but randomized controlled trials are.
Aronow P, Robins J, Saarinen T, Sävje F, Sekhon J. Rejoinder: Nonparametric identification is not enough, but randomized controlled trials are. Observational Studies 2025, 11: 85-90. PMID: 40487084, PMCID: PMC12139717, DOI: 10.1353/obs.2025.a956844.Peer-Reviewed Original ResearchRoot-nPropensity score functionRoot-n rateConditional expectation functionFinite-sampleContinuous covariatesNonparametric identificationExpectation functionUntestable assumptionsRandomized experimentScoring functionPotential outcomesEstimated averageSample sizeEstimationPropensity scoreConfidence intervalsPropensityAssumptionsCovariatesFunctionUniformityRemarks
2024
Gnostic notes on temporal validity
Jang A, Offer-Westort M, Wang S, Aronow P. Gnostic notes on temporal validity. Research & Politics 2024, 11: 20531680241307942. DOI: 10.1177/20531680241307942.Peer-Reviewed Original ResearchExact Bias Correction for Linear Adjustment of Randomized Controlled Trials
Chang H, Middleton J, Aronow P. Exact Bias Correction for Linear Adjustment of Randomized Controlled Trials. Econometrica 2024, 92: 1503-1519. DOI: 10.3982/ecta20289.Peer-Reviewed Original Research
2023
Dyadic Clustering in International Relations
Carlson J, Incerti T, Aronow P. Dyadic Clustering in International Relations. Political Analysis 2023, 32: 186-198. DOI: 10.1017/pan.2023.26.Peer-Reviewed Original Research
2012
Interval estimation of population means under unknown but bounded probabilities of sample selection
Aronow P, Lee D. Interval estimation of population means under unknown but bounded probabilities of sample selection. Biometrika 2012, 100: 235-240. DOI: 10.1093/biomet/ass064.Peer-Reviewed Original Research
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