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Activity Number: 400
Type: Invited
Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #318498
Title: Nonparametric Instrumental Variable Models for Categorical Data
Author(s): Thomas Richardson* and James Robins
Companies: University of Washington and Harvard
Keywords: Instrumental Inequality ; Transparent Parametrization ; Causal Model ; Potential Outcomes

In this talk we consider causal models containing an instrumental variable (Z), a treatment (X) and a response (Y) in which Z, X and Y are categorical. We assume that Z is randomized and that Z has no direct effect on the outcome Y. We first consider the problem of characterizing those distributions over potential outcomes that are compatible with a given observed distribution P(X,Y | Z). We also consider restrictions imposed on the observed distribution by the instrumental variable model. We will show how these restrictions may be used to test the assumptions present in the model. In addition our characterization of the model for the observables leads to 'transparent' parametrizations under which identified and non-identified parameters are clearly distinguished.

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

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