Subsampling inference in cube root asymptotics with an application to Manski's maximum score estimator
By Miguel A. Delgado, Juan M. Rodríguez-Póo, Michael Wolf. 2001
104 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/29b3b36866603bbfd77ab14aed8a6ab9077b16b7
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In Statistics and Probability
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Citations in the corpus
- Testing for Threshold Effects in Regression Models (2010, background): “The corresponding distribution is nonstandard and cannot be tabulated; however, statistical inference can be carried out by subsampling as in Delgado, Rodriguez-Poo, and Wolf (2001).”
- On m out of n Bootstrapping for Nonstandard M-Estimation With Nuisance Parameters (2006, background): “Delgado, Rodríguez-Poo, and Wolf (2001) applied subsampling to situations subject to Kim and Pollard’s (1990) cube root asymptotics and obtained satisfactory empirical results.”
- Consistent Testing for Stochastic Dominance: A Subsampling Approach (2002, unknown): “Delgado, Rodriguez-Poo, and Wolf (2001) propose a method for selecting b to minimize size distortion in the context of hypothesis testing within the maximum score estimator, although no optimality properties of this method were proven.”