Abstract #302040


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JSM 2002 Abstract #302040
Activity Number: 232
Type: Other
Date/Time: Tuesday, August 13, 2002 : 2:00 PM to 3:50 PM
Sponsor: ASA
Abstract - #302040
Title: Causal Inference Using Potential Outcomes
Author(s): Donald Rubin*+
Affiliation(s): Harvard University
Address: 1 Oxford Street, Cambridge, MA, 02138,
Keywords:
Abstract:

The description of causal inference based on "potential outcomes" and the "assignment mechanism" is very straightforward. It is rooted in work by Fisher and Neyman in the 1920s in the context of randomized experiments, generalized to observational studies and other complicated situations by Rubin in the 1970s. The perspective, which is often referred to as "Rubin's Causal Model" (Holland, 1986, Journal of the American Statistical Association), allows frequentist and Bayesian approaches, and encompasses techniques from matching to regression to econometric "instrumental variables" estimation.


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