Testing for two-stage experiments in the presence of interference

Neyman Seminar
Feb 15, 2018 4:00pm to 5:00pm
1011 Evans Hall
Happening As Scheduled
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...
Guillaume Basse, Harvard University