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Estimation of Heterogeneous Treatment Effects from Randomized Experiments, with Application to the Optimal Planning of the Get-Out-the-Vote Campaign

Citations

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Cited by:

  1. Arin, K. Peren & Devereux, Kevin & Methorst, Joel & Thum, Marcel, 2025. "Flooding the vote: Heterogeneous voting responses to a natural disaster in Germany," European Journal of Political Economy, Elsevier, vol. 89(C).
  2. Yi Zhang & Kosuke Imai, 2023. "Individualized Policy Evaluation and Learning under Clustered Network Interference," Papers 2311.02467, arXiv.org, revised Apr 2025.
  3. Jing Wang & Yunshi Mao, 2020. "Pains and gains of environmental management system certification for the sustainable development of manufacturing companies: Heterogeneous effects of industry peer learning," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 2092-2109, July.
  4. Yitayew, Asresu & Abdulai, Awudu & Yigezu, Yigezu A. & Deneke, Tilaye T. & Kassie, Girma T., 2021. "Impact of agricultural extension services on the adoption of improved wheat variety in Ethiopia: A cluster randomized controlled trial," World Development, Elsevier, vol. 146(C).
  5. Yan Leng & Drew Dimmery, 2024. "Calibration of Heterogeneous Treatment Effects in Randomized Experiments," Information Systems Research, INFORMS, vol. 35(4), pages 1721-1742, December.
  6. Paul B. Ellickson & Wreetabrata Kar & James C. Reeder, 2023. "Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions," Marketing Science, INFORMS, vol. 42(4), pages 704-728, July.
  7. Lihua Lei & Emmanuel J. Candès, 2021. "Conformal inference of counterfactuals and individual treatment effects," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(5), pages 911-938, November.
  8. Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2022. "Heterogeneous Employment Effects of Job Search Programs: A Machine Learning Approach," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 597-636.
  9. Drini Imami & Orjon Xhoxhi & Davit Babayan & Thomas Herzfeld & Rustam Rakhmetov, 2026. "Treatment Effect Heterogeneity of Farmers Participating in Cooperatives," Journal of Agricultural Economics, Wiley Blackwell, vol. 77(1), pages 94-106, February.
  10. Schuessler, Julian, 2024. "Causal analysis with observational data," OSF Preprints wam94, Center for Open Science.
  11. Brown, Annette N. & Wood, Benjamin Douglas Kuflick, 2018. "Which tests not witch hunts: A diagnostic approach for conducting replication research," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 12, pages 1-26.
  12. Masahiro Kato, 2025. "Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference," Papers 2511.08303, arXiv.org, revised May 2026.
  13. Sanyukta Deshpande & Ian G. Ludden & Sheldon H. Jacobson, 2025. "Bias in the ballot: how votemandering exploits gerrymandering and campaign strategies," Annals of Operations Research, Springer, vol. 352(1), pages 121-168, September.
  14. Weicong Lyu & Jee-Seon Kim & Youmi Suk, 2023. "Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach," Journal of Educational and Behavioral Statistics, , vol. 48(1), pages 3-36, February.
  15. Roland A. Matsouaka & Junlong Li & Tianxi Cai, 2014. "Evaluating marker-guided treatment selection strategies," Biometrics, The International Biometric Society, vol. 70(3), pages 489-499, September.
  16. G�nther Fink & Margaret McConnell & Sebastian Vollmer, 2014. "Testing for heterogeneous treatment effects in experimental data: false discovery risks and correction procedures," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(1), pages 44-57, January.
  17. Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Apr 2025.
  18. Ta-Wei Huang & Eva Ascarza, 2024. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals," Marketing Science, INFORMS, vol. 43(4), pages 863-884, July.
  19. Xiaojun Li & Dingding Chen, 2021. "Public opinion, international reputation, and audience costs in an authoritarian regime," Conflict Management and Peace Science, Peace Science Society (International), vol. 38(5), pages 543-560, September.
  20. Azomahou, T. & Diallo, F.L. & Raymond, W., 2014. "The harmony of programs package: Quasi-experimental evidence on deworming and canteen interventions in rural Senegal," MERIT Working Papers 2014-026, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  21. Ye Steven Siwei & Chen Yanzhen & Padilla Oscar Hernan Madrid, 2023. "2D score-based estimation of heterogeneous treatment effects," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-25.
  22. Masahiro Kato & Masaaki Imaizumi, 2023. "CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression," Papers 2310.16819, arXiv.org.
  23. repec:osf:osfxxx:wam94_v1 is not listed on IDEAS
  24. Kelvin Mulungu & Zewdu Ayalew Abro & Wambui Beatrice Muriithi & Menale Kassie & Miachael Kidoido & Subramanian Sevgan & Samira Mohamed & Chrysantus Tanga & Fathiya Khamis, 2024. "One size does not fit all: Heterogeneous economic impact of integrated pest management practices for mango fruit flies in Kenya—a machine learning approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 261-279, February.
  25. Ferraro, Paul J. & Miranda, Juan José, 2013. "Heterogeneous treatment effects and mechanisms in information-based environmental policies: Evidence from a large-scale field experiment," Resource and Energy Economics, Elsevier, vol. 35(3), pages 356-379.
  26. repec:plo:pone00:0196600 is not listed on IDEAS
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