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An Improved Bootstrap Test of Stochastic Dominance Author info | Abstract | Publisher info | Download info | Related research | Statistics Oliver Linton (London School of Economics)
Kyungchul Song (University of Pennsylvania)
Yoon-Jae Whang (Seoul National University)
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registered author(s):
We propose a new method of testing stochastic dominance that improves on existing tests based on the standard bootstrap or subsampling. The method admits prospects involving infinite as well as finite dimensional unknown parameters, so that the variables are allowed to be residuals from nonparametric and semiparametric models. The proposed bootstrap tests have asymptotic sizes that are less than or equal to the nominal level uniformly over probabilities in the null hypothesis under regularity conditions. This paper also characterizes the set of probabilities that the asymptotic size is exactly equal to the nominal level uniformly. As our simulation results show, these characteristics of our tests lead to an improved power property in general. The improvement stems from the design of the bootstrap test whose limiting behavior mimics the discontinuity of the original test's limiting distribution.
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Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number
1713.
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Length: 43 pages
Date of creation: Jul 2009Date of revision:
Handle: RePEc:cwl:cwldpp:1713Contact details of provider: Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA Phone: (203) 432-3702 Fax: (203) 432-6167 Web page: http://cowles.econ.yale.edu/ More information through EDIRC
Order Information: Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
For technical questions regarding this item, or to correct its listing, contact: (Glena Ames).
Keywords: Set estimation ; Size of test ; Similarity ; Bootstrap ; Subsampling ; Other versions of this item:
Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Garry F. Barrett & Stephen G. Donald, 2003.
"Consistent Tests for Stochastic Dominance ,"
Econometrica ,
Econometric Society, vol. 71(1), pages 71-104, January.
[Downloadable!] (restricted)
Horvath, Lajos & Kokoszka, Piotr & Zitikis, Ricardas, 2006.
"Testing for stochastic dominance using the weighted McFadden-type statistic ,"
Journal of Econometrics ,
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[Downloadable!] (restricted)
Xiaohong Chen & Oliver Linton & Ingrid Van Keilegom, 2003.
"Estimation of Semiparametric Models when the Criterion Function is not Smooth ,"
STICERD - Econometrics Paper Series
/2003/450, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
[Downloadable!]
Other versions:
Xiaohong Chen & Oliver Linton & Ingred Van Keilegom, 2002.
"Estimation of semiparametric models when the criterion function is not smooth ,"
CeMMAP working papers
CWP02/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
[Downloadable!] Xiaohong Chen & Oliver Linton & Ingrid Van Keilegom, 2003.
"Estimation of Semiparametric Models when the Criterion Function Is Not Smooth ,"
Econometrica ,
Econometric Society, vol. 71(5), pages 1591-1608, 09.
[Downloadable!] (restricted) Anderson, Gordon, 1996.
"Nonparametric Tests of Stochastic Dominance in Income Distributions ,"
Econometrica ,
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Enno Mammen, .
"Comparing nonparametric versus parametric regression fits ,"
Statistic und Oekonometrie
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Kaur, Amarjot & Prakasa Rao, B.L.S. & Singh, Harshinder, 1994.
"Testing for Second-Order Stochastic Dominance of Two Distributions ,"
Econometric Theory ,
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Victor Chernozhukov & Han Hong & Elie Tamer, 2007.
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Koul, H. L. & Lahiri, S. N., 1994.
"On Bootstrapping M-Estimated Residual Processes in Multiple Linear-Regression Models ,"
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Whang, Yoon-Jae, 2000.
"Consistent bootstrap tests of parametric regression functions ,"
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Jason Abrevaya & Jian Huang, 2005.
"On the Bootstrap of the Maximum Score Estimator ,"
Econometrica ,
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Hansen, Peter Reinhard, 2005.
"A Test for Superior Predictive Ability ,"
Journal of Business & Economic Statistics ,
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[Downloadable!] (restricted)
Anna Mikusheva, 2007.
"Uniform Inference in Autoregressive Models ,"
Econometrica ,
Econometric Society, vol. 75(5), pages 1411-1452, 09.
[Downloadable!] (restricted)
Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2005.
"Consistent Testing for Stochastic Dominance under General Sampling Schemes ,"
Review of Economic Studies ,
Blackwell Publishing, vol. 72(3), pages 735-765, 07.
[Downloadable!] (restricted)
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