Oliver Linton () (Institute for Fiscal Studies and London School of Economics) Kyungchul Song Yoon-Jae Whang (Institute for Fiscal Studies and Seoul National University)
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We propose a new method of testing stochastic dominance which improves on existing tests based on bootstrap or subsampling. Our test requires estimation of the contact sets between the marginal distributions. Our tests have asymptotic sizes that are exactly equal to the nominal level uniformly over the boundary points of the null hypothesis and are therefore valid over the whole null hypothesis. We also allow the prospects to be indexed by infinite as well as finite dimensional unknown parameters, so that the variables may be residuals from nonparametric and semiparametric models. Our simulation results show that our tests are indeed more powerful than the existing subsampling and recentered bootstrap.
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number
CWP08/08.
Length: Date of creation: Mar 2008 Date of revision: Handle: RePEc:ifs:cemmap:08/08
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