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Testing For Stochasticmonotonicity Author info | Abstract | Publisher info | Download info | Related research | Statistics Sokbae Lee
Oliver Linton
Yoon-Jae Whang
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We propose a test of the hypothesis of stochastic monotonicity. This hypothesis isof interest in many applications. Our test is based on the supremum of a rescaledU-statistic. We show that its asymptotic distribution is Gumbel. The proof is difficultbecause the approximating Gaussian stochastic process contains both a stationaryand a nonstationary part and so we have to extend existing results that only applyto either one or the other case.
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Paper provided by Suntory and Toyota International Centres for Economics and Related Disciplines, LSE in its series STICERD - Econometrics Paper Series with number
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Date of creation: Aug 2006Date of revision:
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Keywords: Distribution function ; Extreme Value Theory ; Gaussian Process ; Monotonicity. ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
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Marmer, Vadim & Shneyerov, Artyom & Xu, Pai, 2007.
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