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Rank-Sum Tests for Clustered Data

Citations

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Cited by:

  1. Maul, D. & Schiereck, D., 2017. "The bond event study methodology since 1974," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 80723, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  2. Konrad, Kai A. & Lohse, Tim & Qari, Salmai, 2011. "Customs compliance and the power of imagination," Discussion Papers, Research Professorship & Project "The Future of Fiscal Federalism" SP II 2011-108, WZB Berlin Social Science Center.
  3. Philippe Aghion & Ernst Fehr & Richard Holden & Tom Wilkening, 2018. "The Role of Bounded Rationality and Imperfect Information in Subgame Perfect Implementation—An Empirical Investigation," Journal of the European Economic Association, European Economic Association, vol. 16(1), pages 232-274.
  4. Philippe Aghion & Stefan Bechtold & Lea Cassar & Holger Herz, 2018. "The Causal Effects of Competition on Innovation: Experimental Evidence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 34(2), pages 162-195.
  5. Denis Larocque & Riina Haataja & Jaakko Nevalainen & Hannu Oja, 2010. "Two sample tests for the nonparametric Behrens–Fisher problem with clustered data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 22(6), pages 755-771.
  6. Wilkening, Tom, 2016. "Information and the persistence of private-order contract enforcement institutions: An experimental analysis," European Economic Review, Elsevier, vol. 89(C), pages 193-215.
  7. Kai A. Konrad & Tim Lohse & Salmai Qari, 2017. "Compliance with Endogenous Audit Probabilities," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(3), pages 821-850, July.
  8. Riina Lemponen & Denis Larocque & Jaakko Nevalainen & Hannu Oja, 2012. "Weighted rank tests and Hodges-Lehmann estimates for the multivariate two-sample location problem with clustered data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(4), pages 977-991, December.
  9. Ernst Fehr & Holger Herz & Tom Wilkening, 2013. "The Lure of Authority: Motivation and Incentive Effects of Power," American Economic Review, American Economic Association, vol. 103(4), pages 1325-1359, June.
  10. Haoran He & Yefeng Chen, 2021. "Auction mechanisms for allocating subsidies for carbon emissions reduction: an experimental investigation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(2), pages 387-430, August.
  11. Brice Corgnet & Roberto Hernán-Gonzalez & Stephen Rassenti, 2013. "Firing Threats and Tenure: Incentive effects and impression management," Working Papers 13-15, Chapman University, Economic Science Institute.
  12. Corgnet, Brice & Hernán-González, Roberto & Rassenti, Stephen, 2015. "Firing threats: Incentive effects and impression management," Games and Economic Behavior, Elsevier, vol. 91(C), pages 97-113.
  13. Gelder, Alan & Kovenock, Dan, 2017. "Dynamic behavior and player types in majoritarian multi-battle contests," Games and Economic Behavior, Elsevier, vol. 104(C), pages 444-455.
  14. Feng, Jun & Ho, Chun-Yu & Qin, Xiangdong, 2022. "Internal and external reference dependence of incomplete contracts: Experimental evidences," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 189-209.
  15. Liya Fu & You-Gan Wang, 2012. "Efficient Estimation for Rank-Based Regression with Clustered Data," Biometrics, The International Biometric Society, vol. 68(4), pages 1074-1082, December.
  16. Jaakko Nevalainen & Denis Larocque & Hannu Oja, 2007. "A weighted spatial median for clustered data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(3), pages 355-379, February.
  17. Brice Corgnet & Roberto Hernán-González & Stephen Rassenti, 2011. "Real Effort, Real Leisure and Real-time Supervision: Incentives and Peer Pressure in Virtual Organizations," Working Papers 11-05, Chapman University, Economic Science Institute.
  18. Werner, Carola & Brunner, Edgar, 2007. "Rank methods for the analysis of clustered data in diagnostic trials," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 5041-5054, June.
  19. Sandipan Dutta, 2022. "Robust Testing of Paired Outcomes Incorporating Covariate Effects in Clustered Data with Informative Cluster Size," Stats, MDPI, vol. 5(4), pages 1-13, December.
  20. Miklánek, Tomáš, 2018. "Information Asymmetry and Exposure Effects in Dictator Games," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 29-39.
  21. Holger Herz & Dmitry Taubinsky, 2013. "Market experience is a reference point in judgments of fairness," ECON - Working Papers 128, Department of Economics - University of Zurich.
  22. Bernard Rosner & Robert J. Glynn, 2011. "Power and Sample Size Estimation for the Clustered Wilcoxon Test," Biometrics, The International Biometric Society, vol. 67(2), pages 646-653, June.
  23. Somnath Datta & Glen A. Satten, 2008. "A Signed-Rank Test for Clustered Data," Biometrics, The International Biometric Society, vol. 64(2), pages 501-507, June.
  24. Ernst Fehr & Michael Powell & Tom Wilkening, 2014. "Handing Out Guns at a Knife Fight: Behavioral Limitations of Subgame-Perfect Implementation," CESifo Working Paper Series 4948, CESifo.
  25. Haikady N Nagaraja & Shane Sanders, 2020. "The aggregation paradox for statistical rankings and nonparametric tests," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-21, March.
  26. Lea Cassar, 2014. "Job mission as a substitute for monetary incentives: experimental evidence," ECON - Working Papers 177, Department of Economics - University of Zurich.
  27. Lubomir Cingl & Tomas Lichard & Tomas Miklanek, 2022. "Mist Over a Meadow: Tax Designation Effects on Compliance," CERGE-EI Working Papers wp725, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  28. Nikiforakis, Nikos & Noussair, Charles N. & Wilkening, Tom, 2012. "Normative conflict and feuds: The limits of self-enforcement," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 797-807.
  29. Jaakko Nevalainen & Denis Larocque & Hannu Oja, 2007. "A weighted spatial median for clustered data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(3), pages 355-379, February.
  30. Alexander Friesenegger & Andreas W. Rathgeber & Stefan Stöckl, 2015. "Recovery Rate in the Event of an Issuer’s Insolvency — Empirical Study on Implications for the Pricing of Credit Default Risks in German Corporate Bonds," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-34, December.
  31. Fehr, Ernst & Powell, Michael & Wilkening, Tom, 2021. "Behavioral Constraints on the Design of Subgame-Perfect Implementation Mechanisms," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 111(4), pages 1055-1091.
  32. Tomas Miklanek, 2017. "The Effect of Shame in Dictator Games with Information Asymmetry," CERGE-EI Working Papers wp581, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  33. Joanna H. Shih & Michael P. Fay, 2017. "Pearson's chi-square test and rank correlation inferences for clustered data," Biometrics, The International Biometric Society, vol. 73(3), pages 822-834, September.
  34. Bichler, Martin & Goeree, Jacob & Mayer, Stefan & Shabalin, Pasha, 2014. "Spectrum auction design: Simple auctions for complex sales," Telecommunications Policy, Elsevier, vol. 38(7), pages 613-622.
  35. Omer Ozturk & Asuman Turkmen, 2016. "Quantile inference based on clustered data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(7), pages 867-893, October.
  36. Yael Karlinsky-Shichor & Oded Netzer, 2024. "Automating the B2B Salesperson Pricing Decisions: A Human-Machine Hybrid Approach," Marketing Science, INFORMS, vol. 43(1), pages 138-157, January.
  37. You-Gan Wang & Yudong Zhao, 2008. "Weighted Rank Regression for Clustered Data Analysis," Biometrics, The International Biometric Society, vol. 64(1), pages 39-45, March.
  38. Somnath Datta & Jaakko Nevalainen & Hannu Oja, 2012. "A general class of signed-rank tests for clustered data when the cluster size is potentially informative," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(3), pages 797-808.
  39. Haataja, Riina & Larocque, Denis & Nevalainen, Jaakko & Oja, Hannu, 2009. "A weighted multivariate signed-rank test for cluster-correlated data," Journal of Multivariate Analysis, Elsevier, vol. 100(6), pages 1107-1119, July.
  40. Alexander W. Cappelen & Roland Iwan Luttens & Erik Ø. Sørensen & Bertil Tungodden, 2019. "Fairness in Bankruptcies: An Experimental Study," Management Science, INFORMS, vol. 67(6), pages 2832-2841, June.
  41. Martin Bichler & Pasha Shabalin & Jürgen Wolf, 2013. "Do core-selecting Combinatorial Clock Auctions always lead to high efficiency? An experimental analysis of spectrum auction designs," Experimental Economics, Springer;Economic Science Association, vol. 16(4), pages 511-545, December.
  42. Cingl, Lubomír & Lichard, Tomáš & Miklánek, Tomáš, 2023. "Tax designation effects on compliance: An online experiment with taxpayers," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 615-633.
  43. Jaakko Nevalainen & Somnath Datta & Hannu Oja, 2014. "Inference on the marginal distribution of clustered data with informative cluster size," Statistical Papers, Springer, vol. 55(1), pages 71-92, February.
  44. McNabb, Carolyn Beth & Murayama, Kou, 2021. "Unnecessary reliance on multilevel modelling to analyse nested data in neuroscience: When a traditional summary-statistics approach suffices," OSF Preprints h4s9f, Center for Open Science.
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