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Activity Number: 99 - Causal Inference with Non-Traditional Designs
Type: Invited
Date/Time: Monday, July 29, 2019 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract #300605 Presentation
Title: Design and Analysis of Two-Stage Randomized Experiments
Author(s): Kosuke Imai* and Zhichao Jiang
Companies: Harvard University and Harvard University
Keywords: causal inference; spillover effects; noncompliance; randomization inference

We study the methodological issues related to the design and analysis of two-stage randomized experiments, which are useful when the treatment of one unit affects the outcome of another unit. We define various causal quantities of interest, propose consistent estimators, and derive their statistical properties. We also present the power analysis and compare these analytical results with those of standard randomized experiments. Our methodologies are illustrated with the randomized evaluation of the India's national health insurance program, which was conducted using a two-stage randomized design.

Authors who are presenting talks have a * after their name.

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