Nonparametric Tests Of Density Ratio Ordering
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Cited by:
- Abel Brodeur, Nikolai M. Cook, Jonathan S. Hartley, Anthony Heyes, 2022.
"Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?,"
LCERPA Working Papers
am0132, Laurier Centre for Economic Research and Policy Analysis.
- Brodeur, Abel & Cook, Nikolai & Hartley, Jonathan & Heyes, Anthony, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," MetaArXiv uxf39, Center for Open Science.
- Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," GLO Discussion Paper Series 1147, Global Labor Organization (GLO).
- Brodeur, Abel & Cook, Nikolai & Hartley, Jonathan S. & Heyes, Anthony, 2022. "Do Pre-registration and Pre-analysis Plans Reduce P-Hacking and Publication Bias?," IZA Discussion Papers 15476, Institute of Labor Economics (IZA).
- Sangita Kulathinal & Isha Dewan, 2023. "Weighted U-statistics for likelihood-ratio ordering of bivariate data," Statistical Papers, Springer, vol. 64(2), pages 705-735, April.
- Graham Elliott & Nikolay Kudrin & Kaspar Wüthrich, 2022.
"Detecting p‐Hacking,"
Econometrica, Econometric Society, vol. 90(2), pages 887-906, March.
- Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2019. "Detecting p-hacking," Papers 1906.06711, arXiv.org, revised May 2021.
- Elliott, Graham & Kudrin, Nikolay & Wüthrich, Kaspar, 2022. "Detecting p‐Hacking," University of California at San Diego, Economics Working Paper Series qt2p04s3dr, Department of Economics, UC San Diego.
- Pedro H. C. Sant’Anna, 2021.
"Nonparametric Tests for Treatment Effect Heterogeneity With Duration Outcomes,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(3), pages 816-832, July.
- Pedro H. C. Sant'Anna, 2016. "Nonparametric Tests for Treatment Effect Heterogeneity with Duration Outcomes," Papers 1612.02090, arXiv.org, revised Feb 2020.
- 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 2010R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
- 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.
- Beare, Brendan K. & Shi, Xiaoxia, 2019.
"An improved bootstrap test of density ratio ordering,"
Econometrics and Statistics, Elsevier, vol. 10(C), pages 9-26.
- beare, brendan & shi, xiaoxia, 2015. "An improved bootstrap test of density ratio ordering," MPRA Paper 74772, University Library of Munich, Germany.
- Zheng Fang, 2021. "A Unifying Framework for Testing Shape Restrictions," Papers 2107.12494, arXiv.org, revised Aug 2021.
- Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
- Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle in forward looking data," Review of Derivatives Research, Springer, vol. 21(3), pages 253-276, October.
- Xi Chen & Victor Chernozhukov & Iv'an Fern'andez-Val & Scott Kostyshak & Ye Luo, 2018. "Shape-Enforcing Operators for Point and Interval Estimators," Papers 1809.01038, arXiv.org, revised Feb 2021.
- Abel Brodeur & Nikolai M. Cook & Jonathan S. Hartley & Anthony Heyes, 2024.
"Do Preregistration and Preanalysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement,"
Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(3), pages 527-561.
- Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2023. "Do Pre-Registration and Pre-Analysis Plans Reduce p-Hacking and Publication Bias?: Evidence from 15,992 Test Statistics and Suggestions for Improvement," GLO Discussion Paper Series 1147 [pre.], Global Labor Organization (GLO).
- Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2024. "Do Pre-Registration and Pre-Analysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement," I4R Discussion Paper Series 101, The Institute for Replication (I4R).
- Brendan K. Beare & Jackson D. Clarke, 2022. "Modified Wilcoxon-Mann-Whitney tests of stochastic dominance," Papers 2210.08892, arXiv.org.
- Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 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).
- Seo, Juwon, 2018. "Tests of stochastic monotonicity with improved power," Journal of Econometrics, Elsevier, vol. 207(1), pages 53-70.
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