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

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/