Multiple randomization designs: estimation and inference with interference
Authors
Research Topics
Paper Information
-
Journal:
Journal of the Royal Statistical Society Series B -
DOI:
10.1093/jrsssb/qkaf073 -
Published:
January 12, 2026 -
Added to Tracker:
Feb 10, 2026
Abstract
Abstract Completely randomized experiments, originally developed by Fisher and Neyman in the 1930s, are still widely used in practice, even in online experimentation. However, such designs are of limited value for answering standard questions in marketplaces, where multiple populations of agents interact strategically, leading to complex patterns of spillover effects. In this article, we derive the finite-sample properties of tractable estimators for ‘Simple Multiple Randomization Designs’, a new class of experimental designs which account for complex spillover effects in randomized experiments. Our derivations are obtained under a natural and general form of cross-unit interference, which we call ‘local interference’. We discuss the estimation of main effects, direct effects, and spillovers, and present associated central limit theorems.
Author Details
Lorenzo Masoero
AuthorSuhas Vijaykumar
AuthorThomas S Richardson
AuthorJames McQueen
AuthorIdo Rosen
AuthorBrian Burdick
AuthorPat Bajari
AuthorGuido Imbens
AuthorResearch Topics & Keywords
Experimental Design
Research AreaCitation Information
APA Format
Lorenzo Masoero
,
Suhas Vijaykumar
,
Thomas S Richardson
,
James McQueen
,
Ido Rosen
,
Brian Burdick
,
Pat Bajari
&
Guido Imbens
(2026)
.
Multiple randomization designs: estimation and inference with interference.
Journal of the Royal Statistical Society Series B
, 10.1093/jrsssb/qkaf073.
BibTeX Format
@article{paper845,
title = { Multiple randomization designs: estimation and inference with interference },
author = {
Lorenzo Masoero
and Suhas Vijaykumar
and Thomas S Richardson
and James McQueen
and Ido Rosen
and Brian Burdick
and Pat Bajari
and Guido Imbens
},
journal = { Journal of the Royal Statistical Society Series B },
year = { 2026 },
doi = { 10.1093/jrsssb/qkaf073 },
url = { https://doi.org/10.1093/jrsssb/qkaf073 }
}