Showing 1 - 10 of 46
Persistent link: https://www.econbiz.de/10010928652
We propose a new method of testing stochastic dominance that improves on existing tests based on the standard bootstrap … the variables are allowed to be residuals from nonparametric and semiparametric models. The proposed bootstrap tests have … in general. The improvement stems from the design of the bootstrap test whose limiting behavior mimics the discontinuity …
Persistent link: https://www.econbiz.de/10005011842
and second order stochastic dominance in the general k-prospect case. Our method is based on subsampling bootstrap. We …
Persistent link: https://www.econbiz.de/10005593569
We propose a new method of testing stochastic dominance which improves onexisting tests based on bootstrap or …
Persistent link: https://www.econbiz.de/10008838727
Moment restriction semiparametric models, where both the dimension of parameter and the number of restrictions are divergent and an unknown function is involved, are studied using the generalized method of moments (GMM) and sieve method dealing with the nonparametric parameter. The consistency...
Persistent link: https://www.econbiz.de/10011941424
We propose a new method of testing stochastic dominance which improves on existing tests based on bootstrap or … results show that our tests are indeed more powerful than the existing subsampling and recentered bootstrap. …
Persistent link: https://www.econbiz.de/10010318570
We establish the consistency and asymptotic normality for a class of estimators that are linear combinations of a set of √ n-consistent estimators whose cardinality increases with sample size. A special case of our framework corresponds to the conditional moment restriction and the implied...
Persistent link: https://www.econbiz.de/10010288299
This paper develops methodology for nonparametric estimation of a polarization measure due to Anderson (2004) and Anderson, Ge, and Leo (2006) based on kernel estimation techniques. We give the asymptotic distribution theory of our estimator, which in some cases is nonstandard due to a boundary...
Persistent link: https://www.econbiz.de/10010288407
This paper develops methodology for nonparametric estimation of a polarization measure due to Anderson (2004) and Anderson, Ge, and Leo (2006) based on kernel estimation techniques. We give the asymptotic distribution theory of our estimator, which in some cases is nonstandard due to a boundary...
Persistent link: https://www.econbiz.de/10003847572
We establish the consistency and asymptotic normality for a class of estimators that are linear combinations of a set of √n– consistent estimators whose cardinality increases with sample size. A special case of our framework corresponds to the conditional moment restriction and the implied...
Persistent link: https://www.econbiz.de/10009620338