Inference on winners

Citations

Cited by:

1. Kirk Bansak & Elisabeth Paulson & Dominik Rothenhausler & Jeremy Ferwerda & Jens Hainmueller & Michael Hotard, 2026. "Robustness of Refugee-Matching Gains to Off-Policy Evaluation Choices," Papers 2605.06686, arXiv.org.
2. Will Davis & Alexander Gordan & Rusty Tchernis, 2021. "Measuring the spatial distribution of health rankings in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2921-2936, November.
   • Will Davis & Alexander D. Gordan & Rusty Tchernis, 2020. "Measuring the Spatial Distribution of Health Rankings in the United States," NBER Working Papers 27259, National Bureau of Economic Research, Inc.
3. Magne Mogstad & Joseph P Romano & Azeem M Shaikh & Daniel Wilhelm, 2024. "Inference for Ranks with Applications to Mobility across Neighbourhoods and Academic Achievement across Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 476-518.
   • Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," NBER Working Papers 26883, National Bureau of Economic Research, Inc.
   • Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2023. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers 03/23, Institute for Fiscal Studies.
   • Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," Working Papers 2020-16, Becker Friedman Institute for Research In Economics.
   • Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2021. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers CWP17/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   • Magne Mogstad & Joseph P. Romano & Daniel Wilhelm & Azeem M. Shaikh, 2020. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers CWP10/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   • Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," RFBerlin Discussion Paper Series 2008, ROCKWOOL Foundation Berlin (RFBerlin).
4. Bazylik, Sergei & Mogstad, Magne & Romano, Joseph P. & Shaikh, Azeem M. & Wilhelm, Daniel, 2025. "Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties," Journal of Econometrics, Elsevier, vol. 250(C).
   • Daniel Wilhelm & Magne Mogstad & Azeem Shaikh, 2021. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," RFBerlin Discussion Paper Series 2132, ROCKWOOL Foundation Berlin (RFBerlin).
   • Sergei Bazylik & Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2021. "Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties," CeMMAP working papers CWP40/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   • Sergei Bazylik & Magne Mogstad & Joseph Romano & Azeem Shaikh & Daniel Wilhelm, 2024. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," Papers 2402.00192, arXiv.org.
   • Sergei Bazylik & Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2021. "Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties," NBER Working Papers 29519, National Bureau of Economic Research, Inc.
5. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised Oct 2026.
6. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
   • Yu-Wei Hsieh & Xiaoxia Shi & Matthew Shum, 2017. "Inference on Estimators defined by Mathematical Programming," Papers 1709.09115, arXiv.org.
7. Isaiah Andrews & Jiafeng Chen, 2025. "Certified Decisions," Papers 2502.17830, arXiv.org, revised Oct 2026.
8. Dominic Coey & Kenneth Hung, 2022. "Empirical Bayes Selection for Value Maximization," Papers 2210.03905, arXiv.org, revised May 2025.
9. Emily Breza & Arun G. Chandrasekhar & Davide Viviano, 2025. "Evidence aggregation with ignorance in mind: learning what we do (not) know for archetypes discovery," Papers 2501.13355, arXiv.org, revised Jun 2026.
10. David J. Deming, 2021. "The Growing Importance of Decision-Making on the Job," NBER Working Papers 28733, National Bureau of Economic Research, Inc.
11. Anya Shchetkina, 2025. "Blind Targeting: Personalization under Third-Party Privacy Constraints," Papers 2507.05175, arXiv.org.
12. Wicker, Till, 2026. "Winsorizing and trimming in RCTs," Journal of Development Economics, Elsevier, vol. 182(C).
13. Seungjin Han & Julius Owusu & Youngki Shin, 2026. "Ranking Treatment Saturations: Regret Bounds and Experimental Design," Papers 2606.18590, arXiv.org, revised Oct 2026.
14. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023. "Inference for Linear Conditional Moment Inequalities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
    • Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," Papers 1909.10062, arXiv.org, revised Dec 2022.
    • Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
15. Jiafeng Chen & Lihua Lei & Timothy Sudijono & Liyang Sun & Tian Xie, 2025. "Compound Selection Decisions: An Almost SURE Approach," Papers 2511.11862, arXiv.org, revised Jun 2026.
16. Andrews, Isaiah & Kitagawa, Toru & McCloskey, Adam, 2021. "Inference after estimation of breaks," Journal of Econometrics, Elsevier, vol. 224(1), pages 39-59.
    • Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2019. "Inference after estimation of breaks," CeMMAP working papers CWP51/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020. "Inference after Estimation of Breaks," CeMMAP working papers CWP34/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
17. Kohei Yata, 2021. "Optimal Decision Rules Under Partial Identification," Papers 2111.04926, arXiv.org, revised Mar 2025.
18. Aparajithan Venkateswaran & Anirudh Sankar & Arun G. Chandrasekhar & Tyler H. McCormick, 2024. "Robustly estimating heterogeneity in factorial data using Rashomon Partitions," Papers 2404.02141, arXiv.org, revised Jun 2026.
19. Reca Sarfati & Vod Vilfort, 2025. ""Post" Pre-Analysis Plans: Valid Inference for Non-Preregistered Specifications," Papers 2510.02507, arXiv.org.
20. Wei, Waverly & Zhou, Yuqing & Zheng, Zeyu & Wang, Jingshen, 2024. "Inference on the best policies with many covariates," Journal of Econometrics, Elsevier, vol. 239(2).
21. Oguzhan Akgun & Ryo Okui, 2025. "Robust Inference Methods for Latent Group Panel Models under Possible Group Non-Separation," Papers 2511.18550, arXiv.org, revised Jul 2026.
22. Jean-Pierre Dubé & Ariel Xu, 2026. "Large Language Models and Creative Content Design: a case study of email marketing at Wine Access," Quantitative Marketing and Economics (QME), Springer, vol. 24(1), pages 1-28, December.
23. repec:arx:papers:2411.16552 is not listed on IDEAS
24. Davide Viviano & Jelena Bradic, 2020. "Fair Policy Targeting," Papers 2005.12395, arXiv.org, revised Jun 2022.
25. Jiafeng Chen, 2021. "Nonparametric Treatment Effect Identification in School Choice," Papers 2112.03872, arXiv.org, revised Dec 2025.
26. Reca Sarfati & Vod Vilfort, 2026. "Integrating Diagnostic Checks into Estimation," Papers 2604.16690, arXiv.org.