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Randomization inference for treatment effect variation

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  • Peng Ding
  • Avi Feller
  • Luke Miratrix

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  • Peng Ding & Avi Feller & Luke Miratrix, 2016. "Randomization inference for treatment effect variation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 655-671, June.
    • Handle: RePEc:bla:jorssb:v:78:y:2016:i:3:p:655-671
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    References listed on IDEAS

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    1. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
    2. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
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    4. Nolen, Tracy L. & Hudgens, Michael G., 2011. "Randomization-Based Inference Within Principal Strata," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 581-593.
    5. Luke W. Miratrix & Jasjeet S. Sekhon & Bin Yu, 2013. "Adjusting treatment effect estimates by post-stratification in randomized experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(2), pages 369-396, March.
    6. Paul R. Rosenbaum, 2011. "A New u-Statistic with Superior Design Sensitivity in Matched Observational Studies," Biometrics, The International Biometric Society, vol. 67(3), pages 1017-1027, September.
    7. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2005. "Consistent Testing for Stochastic Dominance under General Sampling Schemes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 735-765.
    8. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2006. "What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments," American Economic Review, American Economic Association, vol. 96(4), pages 988-1012, September.
    9. Djebbari, Habiba & Smith, Jeffrey, 2008. "Heterogeneous impacts in PROGRESA," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 64-80, July.
    10. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    11. Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
    12. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 389-405, August.
    13. Roger Koenker & Zhijie Xiao, 2002. "Inference on the Quantile Regression Process," Econometrica, Econometric Society, vol. 70(4), pages 1583-1612, July.
    14. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
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    Cited by:

    1. Harvey, Matthew & Nickerson, David & Wozniak, Abigail, 2023. "When Fairness Matters: Cross-Race Responses to Intentionally Fair Treatment," IZA Discussion Papers 16582, IZA Network @ LISER.
    2. John Cai & Weinan Wang, 2022. "A Systematic Paradigm for Detecting, Surfacing, and Characterizing Heterogeneous Treatment Effects (HTE)," Papers 2211.01547, arXiv.org.
    3. Yu, Jisang & Villoria, Nelson B. & Hendricks, Nathan P., 2022. "The incidence of foreign market tariffs on farmland rental rates," Food Policy, Elsevier, vol. 112(C).
    4. Elia Lapenta & Anthony Strittmatter & Pedro Vergara Merino, 2026. "A Machine-Learning-Compatible Omnibus Test for Treatment Effect Heterogeneity," Papers 2607.06412, arXiv.org.
    5. Sofia Amaral & Lelys Dinarte-Diaz & Patricio Dominguez & Steffanny Romero & Santiago M. Perez-Vincent, 2022. "Talk or Text? Evaluating Response Rates by Remote Survey Method during Covid-19," CESifo Working Paper Series 9517, CESifo.
    6. Carrillo, Paul & Donaldson, Dave & Pomeranz, Dina & Singhal, Monica, 2026. "Misallocation in Firm Production: A Nonparametric Analysis Using Procurement Lotteries," IZA Discussion Papers 18612, IZA Network @ LISER.
    7. Peter Andre, 2021. "Shallow Meritocracy: An Experiment on Fairness Views," CRC TR 224 Discussion Paper Series crctr224_2021_318v1, University of Bonn and University of Mannheim, Germany.
    8. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    9. EunYi Chung & Mauricio Olivares, 2025. "Quantile‐Based Test for Heterogeneous Treatment Effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(1), pages 3-17, January.
    10. Peter Andre, 2025. "Shallow Meritocracy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 92(2), pages 772-807.
    11. Julius Owusu, 2024. "A Nonparametric Test of Heterogeneous Treatment Effects under Interference," Papers 2410.00733, arXiv.org.
    12. Myers, Erica & Souza, Mateus, 2020. "Social comparison nudges without monetary incentives: Evidence from home energy reports," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    13. Zach Branson & Tirthankar Dasgupta, 2020. "Sampling‐based Randomised Designs for Causal Inference under the Potential Outcomes Framework," International Statistical Review, International Statistical Institute, vol. 88(1), pages 101-121, April.
    14. Brandon Hauser & Mauricio Olivares, 2025. "A primer on power and sample size calculations for randomisation inference with experimental data," Fiscal Studies, John Wiley & Sons, vol. 46(3), pages 349-371, September.
    15. Julius Owusu, 2023. "Randomization Inference of Heterogeneous Treatment Effects under Network Interference," Papers 2308.00202, arXiv.org, revised Jun 2025.
    16. Nathan Kallus, 2022. "Treatment Effect Risk: Bounds and Inference," Papers 2201.05893, arXiv.org, revised Jul 2022.
    17. David Puelz & Guillaume Basse & Avi Feller & Panos Toulis, 2022. "A graph‐theoretic approach to randomization tests of causal effects under general interference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 174-204, February.
    18. Kirk Bansak, 2021. "Estimating causal moderation effects with randomized treatments and non‐randomized moderators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 65-86, January.
    19. Hyunseung Kang & Laura Peck & Luke Keele, 2018. "Inference for instrumental variables: a randomization inference approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1231-1254, October.
    20. Avi Feller & Fabrizia Mealli & Luke Miratrix, 2017. "Principal Score Methods: Assumptions, Extensions, and Practical Considerations," Journal of Educational and Behavioral Statistics, , vol. 42(6), pages 726-758, December.
    21. Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael Walker, 2025. "Targeting Impact versus Deprivation," American Economic Review, American Economic Association, vol. 115(6), pages 1936-1974, June.
    22. Paul Carrillo & Dave Donaldson & Dina Pomeranz & Monica Singhal, 2023. "Misallocation in Firm Production: A Nonparametric Analysis Using Procurement Lotteries," NBER Working Papers 31311, National Bureau of Economic Research, Inc.
    23. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    24. Nathan Kallus, 2023. "Treatment Effect Risk: Bounds and Inference," Management Science, INFORMS, vol. 69(8), pages 4579-4590, August.
    25. Stefano Bonnini & Getnet Melak Assegie & Kamila Trzcinska, 2024. "Review about the Permutation Approach in Hypothesis Testing," Mathematics, MDPI, vol. 12(17), pages 1-29, August.

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