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In the causal inference literature a class of semi-parametric estimators is called robust if the estimator has desirable properties under the assumption that at least one of the working models is correctly specified. A standard example is a doubly robust estimator that specifies parametric...
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Rationalizability is a central concept in game theory. Since there may be many rationalizable strategies, applications commonly use refinements to obtain sharp predictions. In an important paper, Weinstein and Yildiz (2007) show that no refinement is robust to perturbations of high-order...
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will be signifi- cantly lower on a robust path, while the optimal use of oil/gas will edge down. Keywords . Robustness …
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distribution. The robustness of the concomitant test statistic is assessed, and four different methods are discussed for applying …
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