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Optimality of Matched-Pair Designs in Randomized Controlled Trials

Citations

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Cited by:

  1. Bai, Yuehao & Liu, Jizhou & Shaikh, Azeem M. & Tabord-Meehan, Max, 2024. "Inference in cluster randomized trials with matched pairs," Journal of Econometrics, Elsevier, vol. 245(1).
  2. Bokelmann, Björn & Lessmann, Stefan, 2025. "Heteroscedasticity-aware stratified sampling to improve uplift modeling," European Journal of Operational Research, Elsevier, vol. 325(1), pages 118-131.
  3. Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org, revised Apr 2025.
  4. Yuehao Bai & Xun Huang & Joseph P. Romano & Azeem M. Shaikh & Max Tabord-Meehan, 2025. "A New Design-Based Variance Estimator for Finely Stratified Experiments," Papers 2503.10851, arXiv.org, revised May 2025.
  5. James Heckman & Haihan Tian & Zijian Zhang & Jin Zhou, 2025. "Dynamic Complementarity," RFBerlin Discussion Paper Series 2595, ROCKWOOL Foundation Berlin (RFBerlin).
  6. David McKenzie, 2025. "Designing and analysing powerful experiments: practical tips for applied researchers," Fiscal Studies, John Wiley & Sons, vol. 46(3), pages 305-322, September.
  7. George Gui & Seungwoo Kim, 2025. "Leveraging LLMs to Improve Experimental Design: A Generative Stratification Approach," Papers 2509.25709, arXiv.org.
  8. Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord-Meehan, 2022. "Revisiting the Analysis of Matched-Pair and Stratified Experiments in the Presence of Attrition," Papers 2209.11840, arXiv.org, revised Oct 2023.
  9. Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023. "Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
  10. Jiang, Liang & Li, Liyao & Miao, Ke & Zhang, Yichong, 2025. "Adjustments with many regressors under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 249(PB).
  11. Laurent Davezies & Guillaume Hollard & Pedro Vergara Merino, 2024. "Revisiting Randomization with the Cube Method," Papers 2407.13613, arXiv.org, revised Jul 2025.
  12. Zikai Li, 2025. "Bridging Stratification and Regression Adjustment: Batch-Adaptive Stratification with Post-Design Adjustment in Randomized Experiments," Papers 2510.22908, arXiv.org.
  13. Jinglong Zhao, 2023. "Adaptive Neyman Allocation," Papers 2309.08808, arXiv.org, revised Jan 2026.
  14. Yuehao Bai & Jizhou Liu & Azeem M. Shaikh & Max Tabord-Meehan, 2023. "On the Efficiency of Highly Stratified Experiments," Papers 2307.15181, arXiv.org, revised Mar 2026.
  15. Cai, Yong & Rafi, Ahnaf, 2024. "On the performance of the Neyman Allocation with small pilots," Journal of Econometrics, Elsevier, vol. 242(1).
  16. Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2022. "Design of two-stage experiments with an application to spillovers in tax compliance," IFS Working Papers W22/32, Institute for Fiscal Studies.
  17. Jizhou Liu, 2023. "Inference for Two-stage Experiments under Covariate-Adaptive Randomization," Papers 2301.09016, arXiv.org, revised Jan 2026.
  18. Bugni, Federico A. & Gao, Mengsi, 2023. "Inference under covariate-adaptive randomization with imperfect compliance," Journal of Econometrics, Elsevier, vol. 237(1).
  19. Wang, Yuhao & Li, Xinran, 2025. "Asymptotic theory of the best-choice rerandomization using the Mahalanobis distance," Journal of Econometrics, Elsevier, vol. 251(C).
  20. Max Cytrynbaum & Fredrik Savje, 2026. "Coupling Designs for Randomized Experiments with Complex Treatments," Papers 2604.09858, arXiv.org.
  21. James J. Heckman & Jin Zhou, 2026. "A Study of the Microdynamics of Early-Childhood Learning," Journal of Political Economy, University of Chicago Press, vol. 134(1), pages 49-85.
  22. Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord‐Meehan, 2024. "Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 256-268, March.
  23. Max Cytrynbaum, 2024. "Finely Stratified Rerandomization Designs," Papers 2407.03279, arXiv.org, revised Jan 2025.
  24. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
  25. Yuehao Bai & Jizhou Liu & Max Tabord‐Meehan, 2024. "Inference for matched tuples and fully blocked factorial designs," Quantitative Economics, Econometric Society, vol. 15(2), pages 279-330, May.
  26. Yuehao Bai & Jizhou Liu & Max Tabord-Meehan, 2022. "Inference for Matched Tuples and Fully Blocked Factorial Designs," Papers 2206.04157, arXiv.org, revised Nov 2023.
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