Statistical Decision-Making Models and Treatment Effects
Thomas B. Astebro
HEC Paris - Strategy & Business Policy
University of Waterloo - Department of Management Sciences
August 2, 2004
Statistical models are better at prediction than intuitive judgment. However, in certain situations an expert's judgment may have a large effect on outcomes, for example expert witnesses testifying in court. Building statistical models from outcome data affected by such judgments requires adjustments for treatment effects. We present an example of how to model and bound such treatment effects when data from the comparison group is not available.
Number of Pages in PDF File: 23
Keywords: Treatment effects, actuarial models, non-experimental methods, bounding analysis
JEL Classification: C15, C82, C99working papers series
Date posted: August 20, 2004
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