Analysis of treatment response data without the joint distribution of potential outcomes
Analysis of treatment response data without the joint distribution of potential outcomes
复制标题
DOI：
10.1016/j.jeconom.2006.07.009
复制
发表时间：
2007-10-01
影响因子：
6.3
通讯作者：
Chib, Siddhartha
中科院分区：
文献类型：
--
作者：
Chib, Siddhartha
In this paper we show how it is possible to develop a Bayesian framework for analyzing structural models for treatment response data without the joint distribution of the potential outcomes. That this is possible has not been noticed in the literature. We also discuss the computation of the model marginal likelihood and present recipes for finding relevant treatment effects, averaged over both parameters and covariates. As compared to an approach in which the counterfactuals are part of the prior-posterior analysis (as in the work to date), the approach we suggest is simpler in terms of the required prior inputs, computational burden and extensibility to more complex settings. (c) 2006 Elsevier B.V. All rights reserved.
