[gov3009-l] Richardson on ``Analysis of the Binary Instrumental Variable Model"

Justin Grimmer jgrimmer at fas.harvard.edu
Mon Feb 23 17:23:00 EST 2009

Dear Applied Statistics Community,

Please join us this Wednesday, when Thomas Richardson--Department of
Statistics, University of Washington--will present "Analysis of the Binary
Instrumental Variable Model", work that is joint with Jamie Robins, Harvard
School of Public Health.  Thomas provided the following abstract:

In this talk I consider an instrumental variable potential outcomes model in
which the instrument (Z), treatment (X) and response (Y) are all binary. It
is well known that this model is not identified by the observed joint
distribution p(x,y,z). Consequently many statistical analyses impose
additional untestable assumptions or change the causal estimand of interest.
 Here we take a different approach, directly characterizing and graphically
displaying the set of distributions over potential outcomes that correspond
to a given population distribution p(x,y,z). This provides insights into the
variation dependence between the partially identified average causal effects
for various compliance groups. The analysis also leads directly to
re-parametrization that may be used for Bayesian inference and the
development of models that incorporate baseline covariates.

The Applied Statistics Workshop meets each Wednesday at 12 noon in K-354
CGIS-Knafel (1737 Cambridge St).  The workshop begins with a light lunch and
presentations usually start around 1215 and last until about 130 pm.

Justin Grimmer
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