Testing for two-stage experiments in the presence of interference, Feb 15

Published: 12/02/2018
Testing for two-stage experiments in the presence of interference, Feb 15
Source: EVENTS.BERKELEY.EDU

Many important causal questions concern interactions between units, also known as interference. Examples include interactions between individuals in households, students in schools, and firms in markets. Standard analyses that ignore interference can often break down in this setting: estimators can be badly biased, while classical randomization tests can be invalid. In this talk, I present recent

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