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Consistent Testing for Stochastic Dominance: A Subsampling Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Oliver Linton ()
Esfandiar Maasoumi
Yoon-Jae Whang
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We propose a procedure for estimating the critical values of the Klecan, McFadden, and McFadden (1990) test for first and second order stochastic dominance in the general k-prospect case. Our method is based on subsampling bootstrap. We show that the resulting test is consistent. We allow for correlation amongst the prospects and for the observations to be auto-correlated over time. Importantly, the prospects may be the residuals from certain conditional models.
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Paper Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Wang, 2002.
"Consistent testing for stochastic dominance: a subsampling approach ,"
CeMMAP working papers
CWP03/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
[Downloadable!] Oliver Linton & Esfandiar Maasoumi & Whang, Yoon-Jae, 2002.
"Consistent Testing for Stochastic Dominance: A Subsampling Approach ,"
Cowles Foundation Discussion Papers
1356, Cowles Foundation, Yale University, revised Mar 2002.
[Downloadable!] Yoon-Jae Whang & Esfandiar Maasoumi & Oliver Linton, 2004.
"Consistent Testing for Stochastic Dominance: A Subsampling Approach ,"
FMG Discussion Papers
dp508, Financial Markets Group.
[Downloadable!] (restricted) Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2002.
"Consistent Testing for Stochastic Dominance: A Subsampling Approach ,"
STICERD - Econometrics Paper Series
/2002/433, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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"Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality ,"
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9805, Université Laval - Département d'économique.
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