Statistical Decision-Making Models and Treatment Effects

23 Pages Posted: 20 Aug 2004

See all articles by Thomas B. Astebro

Thomas B. Astebro

HEC Paris - Economics and Decision Sciences

Gongyue Chen

University of Waterloo - Department of Management Sciences

Date Written: August 2, 2004

Abstract

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.

Keywords: Treatment effects, actuarial models, non-experimental methods, bounding analysis

JEL Classification: C15, C82, C99

Suggested Citation

Astebro, Thomas B. and Chen, Gongyue, Statistical Decision-Making Models and Treatment Effects (August 2, 2004). Available at SSRN: https://ssrn.com/abstract=578525 or http://dx.doi.org/10.2139/ssrn.578525

Thomas B. Astebro (Contact Author)

HEC Paris - Economics and Decision Sciences ( email )

Jouy-en-Josas Cedex, 78351
France

HOME PAGE: http://www.hec.edu/Faculty-Research/Faculty-Directory/ASTEBRO-Thomas

Gongyue Chen

University of Waterloo - Department of Management Sciences ( email )

Waterloo, Ontario N2L 3G1
Canada

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