Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)
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We propose a locally efficient estimator for a class of semiparametric data combination problems. A leading estimand in this class is the Average Treatment Effect on the Treated (ATT). Data combination problems are related to, but distinct from, the class of missing data problems analyzed by Robins,
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美国国家经济研究局创建时间：
2011-04-01
