Experimental design in marketplaces

DOI10.1214/23-sts883MaRDI QIDQ6181746

James McQueen, Brian Burdick, Ido M. Rosen, Thomas S. Richardson, Guido W. Imbens, Patrick Bajari, Lorenzo Masoero

Publication date: 23 January 2024

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/journals/statistical-science/volume-38/issue-3/Experimental-Design-in-Marketplaces/10.1214/23-STS883.full

zbMATH Keywords

causal inferenceexperimental designonline experimentationmultiple randomization designstwo-sided marketplaces

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Causal diagrams for interference
• Interference and sensitivity analysis
• Bayesian inference for causal effects: The role of randomization
• On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
• Estimating average causal effects under general interference, with application to a social network experiment
• Bipartite causal inference with interference
• Design-based analysis in difference-in-differences settings with staggered adoption
• Identification of Endogenous Social Effects: The Reflection Problem
• Toward Causal Inference With Interference
• Statistics and Causal Inference
• The Crossover Experiment for Clinical Trials
• Exactp-Values for Network Interference
• Randomization tests of causal effects under interference
• Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments
• Causal inference with interfering units for cluster and population level treatment allocation programs
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Interference Between Units in Randomized Experiments
• The First-Median Test: A Two-Sided Version of the Control Median Test
• A median test with sequential application
• A Generalization of Sampling Without Replacement From a Finite Universe
• A Method of Testing the Hypothesis that Two Samples are from the Same Population