On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter
In this paper we describe methods for obtaining the predictive distributions of outcome gains in the framework of a standard latent variable selection model. While most previous work has focused on estimation of mean treatment parameters as the method for characterizing outcome gains from program participation, we show the entire distributions associated with these gains can be accurately obtained on certain situations.
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|Date of creation:||2001|
|Date of revision:|
|Contact details of provider:|| Postal: UNIVERSITY OF CALIFORNIA IRVINE, SCHOOL OF SOCIAL SCIENCES, IRVINECALIFORNIA 91717 U.S.A.|
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