Consistent testing for stochastic dominance: a subsampling approach

Oliver Linton, Esfandiar Maasoumi and Yoon-Jae Whang

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: We propose a procedure for estimating the critical values of the extended Kolmogorov- Smirnov tests of Stochastic Dominance of arbitrary order in the general K-prospect case. We allow for the observations to be serially dependent and, for the first time, we can accommodate general dependence amongst the prospects which are to be ranked. Also, the prospects may be the residuals from certain conditional models, opening the way for conditional ranking. We also propose a test of Prospect Stochastic Dominance. Our method is based on subsampling and we show that the resulting tests are consistent and powerful against some N −1/2 local alternatives. We also propose some heuristic methods for selecting subsample size and demonstrate in simulations that they perform reasonably. We describe an alternative method for obtaining critical values based on recentering the test statistic and using full sample bootstrap methods. We compare the two methods in theory and in practice.

JEL-codes: C40 (search for similar items in EconPapers)
Pages: 51 pages
Date: 2003-12-09
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Downloads: (external link)
http://eprints.lse.ac.uk/24755/ Open access version. (application/pdf)

Related works:
Working Paper: Consistent Testing for Stochastic Dominance: A Subsampling Approach (2004)
Working Paper: Consistent testing for stochastic dominance: a subsampling approach (2002)
Working Paper: Consistent Testing for Stochastic Dominance: A Subsampling Approach (2002)
Working Paper: Consistent Testing for Stochastic Dominance: A Subsampling Approach (2002)
Working Paper: Consistent testing for stochastic dominance: a subsampling approach (2002)
Working Paper: Consistent testing for stochastic dominance: a subsampling approach (2002)
Working Paper: Consistent Testing for Stochastic Dominance: A Subsampling Approach (2002)
Working Paper: Consistent testing for stochastic dominance: a subsampling approach (2002)
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