An improved bootstrap test of density ratio ordering
Author
Abstract
Suggested Citation
DOI: 10.1016/j.ecosta.2018.08.002
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.
Other versions of this item:
- beare, brendan & shi, xiaoxia, 2015. "An improved bootstrap test of density ratio ordering," MPRA Paper 74772, University Library of Munich, Germany.
References listed on IDEAS
- Seo, Juwon, 2018. "Tests of stochastic monotonicity with improved power," Journal of Econometrics, Elsevier, vol. 207(1), pages 53-70.
- Miguel A. Delgado & Juan Carlos Escanciano, 2013. "Conditional Stochastic Dominance Testing," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 16-28, January.
- Roosen J. & Hennessy D.A., 2004.
"Testing for the Monotone Likelihood Ratio Assumption,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 358-366, July.
- Roosen, Jutta & Hennessy, David A., 2003. "Testing for the Monotone Likelihood Ratio Assumption," Staff General Research Papers Archive 10193, Iowa State University, Department of Economics.
- Jutta Roosen & David A. Hennessy, 2003. "Testing for the Monotone Likelihood Ratio Assumption," Center for Agricultural and Rural Development (CARD) Publications 03-wp325, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Linton, Oliver & Song, Kyungchul & Whang, Yoon-Jae, 2010.
"An improved bootstrap test of stochastic dominance,"
Journal of Econometrics, Elsevier, vol. 154(2), pages 186-202, February.
- Linton, Oliver & Song, Kyungchul & Whang, Yoon-Jae, 2009. "An improved bootstrap test of stochastic dominance," UC3M Working papers. Economics we094827, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009. "An Improved Bootstrap Test of Stochastic Dominance," Cowles Foundation Discussion Papers 1713, Cowles Foundation for Research in Economics, Yale University.
- Donald W. K. Andrews & Xiaoxia Shi, 2013.
"Inference Based on Conditional Moment Inequalities,"
Econometrica, Econometric Society, vol. 81(2), pages 609-666, March.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
- Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2005.
"Consistent Testing for Stochastic Dominance under General Sampling Schemes,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 735-765.
- Linton, Oliver & Maasoumi, Esfandiar & Whang, Yoon-Jae, 2003. "Consistent testing for stochastic dominance under general sampling schemes," LSE Research Online Documents on Economics 2208, London School of Economics and Political Science, LSE Library.
- Linton, Oliver & Maasoumi, Esfandiar & Whang, Yoon-Jae, 2003. "Consistent Testing for Stochastic Dominance under General Sampling Schemes," SFB 373 Discussion Papers 2003,31, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Minsu Chang & Sokbae Lee & Yoon‐Jae Whang, 2015. "Nonparametric tests of conditional treatment effects with an application to single‐sex schooling on academic achievements," Econometrics Journal, Royal Economic Society, vol. 18(3), pages 307-346, October.
- Anderson, Gordon & Linton, Oliver & Whang, Yoon-Jae, 2012. "Nonparametric estimation and inference about the overlap of two distributions," Journal of Econometrics, Elsevier, vol. 171(1), pages 1-23.
- Beutner, Eric & Zähle, Henryk, 2010. "A modified functional delta method and its application to the estimation of risk functionals," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2452-2463, November.
- Brendan K. Beare & Lawrence D. W. Schmidt, 2016.
"An Empirical Test of Pricing Kernel Monotonicity,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 338-356, March.
- Beare, Brendan K. & Schmidt, Lawrence, 2011. "An Empirical Test of Pricing Kernel Monotonicity," University of California at San Diego, Economics Working Paper Series qt5572n8pc, Department of Economics, UC San Diego.
- Lee, Sokbae & Song, Kyungchul & Whang, Yoon-Jae, 2018.
"Testing For A General Class Of Functional Inequalities,"
Econometric Theory, Cambridge University Press, vol. 34(5), pages 1018-1064, October.
- Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers CWP09/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae Lee & Kyungchul Song & Yoon-Jae Whang, 2014. "Testing For A General Class Of Functional Inequalities," KIER Working Papers 889, Kyoto University, Institute of Economic Research.
- Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers 09/14, Institute for Fiscal Studies.
- Giacomini, Raffaella & Politis, Dimitris N. & White, Halbert, 2013.
"A Warp-Speed Method For Conducting Monte Carlo Experiments Involving Bootstrap Estimators,"
Econometric Theory, Cambridge University Press, vol. 29(3), pages 567-589, June.
- Raffaella Giacomini & Dimitris N. Politis & Halbert White, 2012. "A warp-speed method for conducting Monte Carlo experiments involving bootstrap estimators," CeMMAP working papers CWP11/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Raffaella Giacomini & Dimitris N. Politis & Halbert White, 2012. "A warp-speed method for conducting Monte Carlo experiments involving bootstrap estimators," CeMMAP working papers 11/12, Institute for Fiscal Studies.
- Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
- Beare, Brendan K., 2011. "Measure preserving derivatives and the pricing kernel puzzle," Journal of Mathematical Economics, Elsevier, vol. 47(6), pages 689-697.
- Sokbae (Simon) Lee & Yoon-Jae Whang, 2009.
"Nonparametric tests of conditional treatment effects,"
CeMMAP working papers
CWP36/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae Lee & Yoon-Jae Whang, 2009. "Nonparametric Tests of Conditional Treatment Effects," Cowles Foundation Discussion Papers 1740, Cowles Foundation for Research in Economics, Yale University.
- Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-1193, September.
- Andrews, Donald W.K. & Guggenberger, Patrik, 2010. "ASYMPTOTIC SIZE AND A PROBLEM WITH SUBSAMPLING AND WITH THE m OUT OF n BOOTSTRAP," Econometric Theory, Cambridge University Press, vol. 26(2), pages 426-468, April.
- Stephen G. Donald & Yu-Chin Hsu, 2016.
"Improving the Power of Tests of Stochastic Dominance,"
Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 553-585, April.
- Stephen G. Donald & Yu-Chin Hsu, 2012. "Improving the Power of Tests of Stochastic Dominance," IEAS Working Paper : academic research 12-A015, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Jun 2013.
- Beutner, Eric & Wu, Wei Biao & Zähle, Henryk, 2012. "Asymptotics for statistical functionals of long-memory sequences," Stochastic Processes and their Applications, Elsevier, vol. 122(3), pages 910-929.
- Andrews, Donald W.K. & Shi, Xiaoxia, 2014.
"Nonparametric inference based on conditional moment inequalities,"
Journal of Econometrics, Elsevier, vol. 179(1), pages 31-45.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2013.
- Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2013.
- Brendan K. Beare & Asad Dossani, 2018. "Option augmented density forecasts of market returns with monotone pricing kernel," Quantitative Finance, Taylor & Francis Journals, vol. 18(4), pages 623-635, April.
- Russell Davidson & Jean-Yves Duclos, 2000.
"Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality,"
Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
- Davidson, R. & Duclos, J.-Y., 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," G.R.E.Q.A.M. 98a14, Universite Aix-Marseille III.
- Davidson, Russell & Duclos, Jean-Yves, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Cahiers de recherche 9805, Université Laval - Département d'économique.
- Russell Davidson & Jean-Yves Duclos, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," LIS Working papers 181, LIS Cross-National Data Center in Luxembourg.
- repec:cwl:cwldpp:1840rr is not listed on IDEAS
- Delgado, Miguel A. & Escanciano, Juan Carlos, 2012. "Distribution-free tests of stochastic monotonicity," Journal of Econometrics, Elsevier, vol. 170(1), pages 68-75.
- Christopher A. Carolan & Joshua M. Tebbs, 2005. "Nonparametric tests for and against likelihood ratio ordering in the two-sample problem," Biometrika, Biometrika Trust, vol. 92(1), pages 159-171, March.
- Beare, Brendan K. & Moon, Jong-Myun, 2015. "Nonparametric Tests Of Density Ratio Ordering," Econometric Theory, Cambridge University Press, vol. 31(3), pages 471-492, June.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Hongyi Jiang & Zhenting Sun & Shiyun Hu, 2023. "A Nonparametric Test of $m$th-degree Inverse Stochastic Dominance," Papers 2306.12271, arXiv.org, revised Jul 2023.
- Hongyi Jiang & Zhenting Sun, 2023. "Testing Partial Instrument Monotonicity," Papers 2308.08390, arXiv.org, revised Aug 2023.
- Andrews, Donald W.K. & Shi, Xiaoxia, 2017.
"Inference based on many conditional moment inequalities,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 275-287.
- Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
- Jiang, Hongyi & Sun, Zhenting, 2023. "Testing partial instrument monotonicity," Economics Letters, Elsevier, vol. 233(C).
- Xavier D'Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2021.
"Rationalizing rational expectations: Characterizations and tests,"
Quantitative Economics, Econometric Society, vol. 12(3), pages 817-842, July.
- Xavier D'Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2020. "Rationalizing Rational Expectations: Characterization and Tests," Papers 2003.11537, arXiv.org, revised Dec 2020.
- D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2021. "Rationalizing Rational Expectations: Characterizations and Tests," TSE Working Papers 21-1211, Toulouse School of Economics (TSE).
- Xavier d' Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2021. "Rationalizing rational expectations: characterizations and tests," Post-Print hal-03346328, HAL.
- Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Jan 2024.
- Zheng Fang, 2021. "A Unifying Framework for Testing Shape Restrictions," Papers 2107.12494, arXiv.org, revised Aug 2021.
- Xavier D'Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2018.
"Rationalizing Rational Expectations? Tests and Deviations,"
NBER Working Papers
25274, National Bureau of Economic Research, Inc.
- D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2018. "Rationalizing Rational Expectations? Tests and Deviations," IZA Discussion Papers 11989, Institute of Labor Economics (IZA).
- Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
- Julian Martinez-Iriarte, 2023. "Sensitivity Analysis in Unconditional Quantile Effects," Papers 2303.14298, arXiv.org, revised Jun 2024.
- Wang, Dewei & Tang, Chuan-Fa & Tebbs, Joshua M., 2020. "More powerful goodness-of-fit tests for uniform stochastic ordering," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
- Brendan K. Beare & Jackson D. Clarke, 2022. "Modified Wilcoxon-Mann-Whitney tests of stochastic dominance," Papers 2210.08892, arXiv.org.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Brendan K. Beare & Jackson D. Clarke, 2022. "Modified Wilcoxon-Mann-Whitney tests of stochastic dominance," Papers 2210.08892, arXiv.org.
- Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
- Hongyi Jiang & Zhenting Sun & Shiyun Hu, 2023. "A Nonparametric Test of $m$th-degree Inverse Stochastic Dominance," Papers 2306.12271, arXiv.org, revised Jul 2023.
- Andrews, Donald W.K. & Shi, Xiaoxia, 2017.
"Inference based on many conditional moment inequalities,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 275-287.
- Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
- Donald, Stephen G. & Hsu, Yu-Chin, 2014.
"Estimation and inference for distribution functions and quantile functions in treatment effect models,"
Journal of Econometrics, Elsevier, vol. 178(P3), pages 383-397.
- Stephen G. Donald & Yu-Chin Hsu, 2012. "Estimation and Inference for Distribution Functions and Quantile Functions in Treatment Effect Models," IEAS Working Paper : academic research 12-A016, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Chuang, O-Chia & Kuan, Chung-Ming & Tzeng, Larry Y., 2017. "Testing for central dominance: Method and application," Journal of Econometrics, Elsevier, vol. 196(2), pages 368-378.
- Miguel A. Delgado & Juan Carlos Escanciano, 2013.
"Conditional Stochastic Dominance Testing,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 16-28, January.
- Escanciano, Juan Carlos & Delgado, Miguel A., 2011. "Conditional stochastic dominance testing," UC3M Working papers. Economics we1138, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Barrett, Garry F. & Donald, Stephen G. & Hsu, Yu-Chin, 2016.
"Consistent tests for poverty dominance relations,"
Journal of Econometrics, Elsevier, vol. 191(2), pages 360-373.
- Garry F. Barrett & Stephen G. Donald & Yu-Chin Hsu, 2015. "Consistent Tests for Poverty Dominance Relations," IEAS Working Paper : academic research 15-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Seo, Juwon, 2018. "Tests of stochastic monotonicity with improved power," Journal of Econometrics, Elsevier, vol. 207(1), pages 53-70.
- Ng, Pin & Wong, Wing-Keung & Xiao, Zhijie, 2017. "Stochastic dominance via quantile regression with applications to investigate arbitrage opportunity and market efficiency," European Journal of Operational Research, Elsevier, vol. 261(2), pages 666-678.
- Jesus Gonzalo & Jose Olmo, 2014.
"Conditional Stochastic Dominance Tests In Dynamic Settings,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 819-838, August.
- Olmo, José, 2010. "Conditional stochastic dominance tests in dynamic settings," UC3M Working papers. Economics we1029, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Olmo, José, 2013. "Conditional stochastic dominance tests in dynamic settings," UC3M Working papers. Economics we1205, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2020.
"Bayesian assessment of Lorenz and stochastic dominance,"
Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 767-799, May.
- David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian assessment of Lorenz and stochastic dominance," Monash Econometrics and Business Statistics Working Papers 15/17, Monash University, Department of Econometrics and Business Statistics.
- David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
- Lee, Kyungho & Linton, Oliver & Whang, Yoon-Jae, 2023. "Testing for time stochastic dominance," Journal of Econometrics, Elsevier, vol. 235(2), pages 352-371.
- David Lander & David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2016. "Bayesian Assessment of Lorenz and Stochastic Dominance Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 2023, The University of Melbourne.
- Toru Kitagawa, 2013. "A bootstrap test for instrument validity in heterogeneous treatment effect models," CeMMAP working papers CWP53/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa, 2013. "A bootstrap test for instrument validity in heterogeneous treatment effect models," CeMMAP working papers 53/13, Institute for Fiscal Studies.
- Zheng Fang, 2021. "A Unifying Framework for Testing Shape Restrictions," Papers 2107.12494, arXiv.org, revised Aug 2021.
- Hsu, Yu-Chin & Shen, Shu, 2019. "Testing treatment effect heterogeneity in regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 208(2), pages 468-486.
- Khaled, Mohamad A. & Makdissi, Paul & Yazbeck, Myra, 2018.
"Income-related health transfers principles and orderings of joint distributions of income and health,"
Journal of Health Economics, Elsevier, vol. 57(C), pages 315-331.
- Mohamed Khaled & Paul Makdissi & Myra Yazbeck, 2016. "Income-Related Health Transfers Principles and Orderings of Joint Distributions of Income and Health," Working Papers 160009, Canadian Centre for Health Economics.
- Mohamed Khaled & Paul Makdissi & Myra Yazbeck, 2016. "Income-Related Health Transfers Principles and Orderings of Joint Distributions of Income and Health," Discussion Papers Series 574, School of Economics, University of Queensland, Australia.
- Lee, K. & Linton, O. & Whang, Y-J., 2020. "Testing for Time Stochastic Dominance," Cambridge Working Papers in Economics 20121, Faculty of Economics, University of Cambridge.
More about this item
Keywords
Contact set; Density ratio ordering; Hadamard directional differentiability; Least concave majorant; Ordinal dominance curve;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecosta:v:10:y:2019:i:c:p:9-26. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/econometrics-and-statistics .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.