Efficient Estimation of Average Treatment Effects Under Treatment-Based Sampling, Second Version
نویسندگان
چکیده
منابع مشابه
E¢ cient Estimation of Average Treatment E¤ects under Treatment-Based Sampling
Nonrandom sampling schemes are often used in program evaluation settings to improve the quality of inference. This paper considers what we call treatmentbased sampling, a type of standard strati ed sampling where part of the strata are based on treatments. This paper rst establishes semiparametric e¢ ciency bounds for estimators of weighted average treatment e¤ects and average treatment e¤ects...
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Recently there has been a surge in econometric work focusing on estimating average treatment effects under various sets of assumptions. One strand of this literature has developed methods for estimating average treatment effects for a binary treatment under assumptions variously described as exogeneity, unconfoundedness, or selection on observables. The implication of these assumptions is that ...
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This paper provides conditions for identification, and an associated estimator, of the average effect of a binary treatment or policy on a scalar outcome in models where treatment may be misclassified. Misclassification probabilities and the true probability of treatment are also identified. Misclassification occurs when treatment is measured with error, that is, some units are reported to have...
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In this paper, we give a short overview of some propensity score matching estimators suggested in the evaluation literature and we provide a set of Stata programs which we illustrate using the National Supported Work (NSW) demonstration widely known in labor economics.
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2010
ISSN: 1556-5068
DOI: 10.2139/ssrn.1617262