[gov3009-l] Fransden on "Nonparametric randomization inference on quantiles under imperfect compliance"

Matt Blackwell mblackwell at iq.harvard.edu
Mon Sep 6 20:40:23 EDT 2010


Hi all,

We hope you can join us for the first Applied Statistics Workshop of
the year this Wednesday, September 8th, when we will be happy to have
Brigham Fransden who is a Robert Wood Johnson Scholar in Health
Policy. Brigham received his PhD from the Department of Economics at
MIT this past June. Details of his talk and an abstract are below. The
workshop begins at 12 noon and we will serve a light lunch. Hope to
see you there!

"Nonparametric randomization inference on quantiles under imperfect compliance"
Brigham Fransden
Robert Wood Johnson Scholar in Health Policy
September 8th, 2010, 12 noon
K354 CGIS Knafel (1737 Cambridge St)

Abstract:
I develop a nonparametric approach to randomization inference on the
effects of a treatment under imperfect compliance to a randomized
assignment. I show how to construct exact finite-sample confidence
intervals for the distribution of potential outcomes for the subgroup
of subjects---compliers---whose treatment status is manipulated by the
random assignment. An advantage of this approach is that it allows the
effect of treatment to be heterogeneous and makes inference on the
effects of the treatment across the distribution without imposing a
parametric model.


Cheers,
matt.

~~~~~~~~~~~
Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
url: http://people.fas.harvard.edu/~blackwel/


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