arXiv 10 Jan 2019 · Statistics — Methodology · publishedJournal of Causal Inference (2020) · 2 citations (OpenAlex)
arXiv:1901.02991 · PDF · DOI · OpenAlex · Extracted main text
Randomized control trials (RCTs) are the gold standard for estimating causal effects, but often use samples that are non-representative of the actual population of interest. We propose a reweighting method for estimating population average treatment effects in settings with noncompliance. Simulations show the proposed compliance-adjusted population estimator outperforms its unadjusted counterpart when compliance is relatively low and can be predicted by observed covariates. We apply the method to evaluate the effect of Medicaid coverage on health care use for a target population of adults who may benefit from expansions to the Medicaid program. We draw RCT data from the Oregon Health Insurance Experiment, where less than one-third of those randomly selected to receive Medicaid benefits actually enrolled.
appendix boundary found by appendix_command · 87% of the source is main text. Read the extracted text to check this.
The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | J. D. Angrist, G. W. Imbens, and D. B. Rubin, Identification of caus… (1996) no. 434, 444–455 | 0.843 | 3 | 3 | 100% |
| 2 | A. Finkelstein, S. Taubman, B. Wright, M. Bernstein, J. Gruber, J. P… (2012) no. 3, 1057–1106 | 0.644 | 4 | 1 | 100% |
| 3 | E. Hartman, R. Grieve, R. Ramsahai, and J. S. Sekhon, From SATE to P… (2015) no. 3, 757–778 | 0.511 | 2 | 1 | 100% |
| 4 | A. E. Kowalski, “Doing more when you're running LATE: Applying margi… (2016) Doing more when you're running LATE: Applying marginal treatment effect methods to examine treatment effect heterogeneity in exp… | 0.511 | 2 | 1 | 100% |
| 5 | E. A. Stuart, S. R. Cole, C. P. Bradshaw, and P. J. Leaf, The use of… (2011) no. 2, 369–386 | 0.511 | 2 | 1 | 100% |
| 6 | Centers for Disease Control and Prevention. Behavioral Risk Factor S… (2016) Atlanta, Georgia: U.S | 0.405 | 1 | 1 | 100% |
| 7 | K. Imai, G. King, and E. Stuart, Misunderstandings among experimenta… (2008) no. 2, 481–502 | 0.405 | 1 | 1 | 100% |
| 8 | Centers for Disease Control and Prevention. National Health Intervie… (2019) Atlanta, Georgia: U.S | 0.405 | 1 | 1 | 100% |
| 9 | S. Taubman, H. Allen, B. Wright, K. Baicker, and A. Finkelstein, Med… (2014) no. 6168, 263–268 | 0.405 | 1 | 1 | 100% |
| 10 | K. Baicker, S. L. Taubman, H. L. Allen, M. Bernstein, J. H. Gruber,… (2013) no. 18, 1713–1722 | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 34 scored citations.