Is Regression Adjustment Supported By the Neyman Model for Causal Inference?

Citations

Cited by:

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5. Kenneth Fortson & Natalya Verbitsky-Savitz & Emma Kopa & Philip Gleason, 2012. "Using an Experimental Evaluation of Charter Schools to Test Whether Nonexperimental Comparison Group Methods Can Replicate Experimental Impact Estimates," Mathematica Policy Research Reports 27f871b5b7b94f3a80278a593, Mathematica Policy Research.
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7. Peter Z. Schochet, "undated". "Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs," Mathematica Policy Research Reports a0c005c003c242308a92c02dc, Mathematica Policy Research.
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10. Thomas Fraker & Peter Baird & Alison Black & Arif Mamun & Michelle Manno & John Martinez & Anu Rangarajan & Debbie Reed, "undated". "The Social Security Administration's Youth Transition Demonstration Projects: Interim Report on Colorado Youth WINS," Mathematica Policy Research Reports f57994086f8a436ca69e24800, Mathematica Policy Research.
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12. Thomas Fraker & Peter Baird & Arif Mamun & Michelle Manno & John Martinez & Debbie Reed & Allison Thompkins, "undated". "The Social Security Administration's Youth Transition Demonstration Projects: Interim Report on the Career Transition Program," Mathematica Policy Research Reports 8b90037b73b64e07a8c762e83, Mathematica Policy Research.
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17. Peter Z. Schochet, 2021. "Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Designs with Variation in Treatment Timing," Papers 2102.06770, arXiv.org, revised Oct 2021.
18. repec:mpr:mprres:8128 is not listed on IDEAS
19. Peter Z. Schochet, 2013. "Estimators for Clustered Education RCTs Using the Neyman Model for Causal Inference," Journal of Educational and Behavioral Statistics, , vol. 38(3), pages 219-238, June.
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22. Peter Z. Schochet & Hanley Chiang, "undated". "Technical Methods Report: Estimation and Identification of the Complier Average Causal Effect Parameter in Education RCTs," Mathematica Policy Research Reports 947d1823e3ff42208532a763d, Mathematica Policy Research.
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24. Peter Z. Schochet, 2020. "Analyzing Grouped Administrative Data for RCTs Using Design-Based Methods," Journal of Educational and Behavioral Statistics, , vol. 45(1), pages 32-57, February.
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26. Laura Blue & Gregory Peterson & Keith Kranker & Tessa Huffman & Alli Steiner & Amanda Markovitz & Malcolm Williams & Kate Stewart & Julia Rollison & Jia Pu & Thomas Concannon & Liisa Hiatt & Nabeel Qu, "undated". "Evaluation of the Million Hearts® Cardiovascular Disease Risk Reduction Model: Third Annual Report," Mathematica Policy Research Reports d4649f0778804c4eb0adcf2db, Mathematica Policy Research.
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32. Tim Kautz & Peter Z. Schochet & Charles Tilley, "undated". "Comparing Impact Findings from Design-Based and Model-Based Methods: An Empirical Investigation," Mathematica Policy Research Reports b7656ddce20f4007b71836e99, Mathematica Policy Research.
33. Peter Z. Schochet, 2010. "The Late Pretest Problem in Randomized Control Trials of Education Interventions," Journal of Educational and Behavioral Statistics, , vol. 35(4), pages 379-406, August.
34. repec:mpr:mprres:6931 is not listed on IDEAS