2019
DOI: 10.3386/w25568
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Simulated Power Analyses for Observational Studies: An Application to the Affordable Care Act Medicaid Expansion

Abstract: ; and the UK Institute for Fiscal Studies (Nov. 2018). The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Cited by 17 publications
(23 citation statements)
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“…Study findings can help statisticians, researchers, and policy makers better gauge the validity of the existing evidence base and to conduct sound evaluations of new policies enacted by states. The use of simulation studies to assess the statistical properties of commonly used methods is an innovative yet underutilized approach for helping researchers examine methods' performance in a specific context (Black et al 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Study findings can help statisticians, researchers, and policy makers better gauge the validity of the existing evidence base and to conduct sound evaluations of new policies enacted by states. The use of simulation studies to assess the statistical properties of commonly used methods is an innovative yet underutilized approach for helping researchers examine methods' performance in a specific context (Black et al 2019).…”
Section: Discussionmentioning
confidence: 99%
“…We find no significant effect of Medicaid expansion on these alternative definitions of 5 Given that we use state level data, there may be concerns about the ability to detect an effect. Therefore, we conduct a power analysis as recommended by Black, Hollingsworth, Nunes, and Simon (2019). The results of this analysis indicate sufficient power.…”
mentioning
confidence: 99%
“…The difficulty with assessing mortality changes is that this is (fortunately) a rare event in the U.S. for the non‐elderly, who are the primary focus of the ACA. Indeed, one recent working paper argues that the ACA itself is underpowered to detect any mortality effects at the population level, given that coverage gains occurred in all states, and pre‐ACA trends may preclude using the Medicaid expansion as an identification strategy for this outcome (Black et al., ). A recent working paper by Miller, Altekruse, Johnson, and Wherry () challenges this characterization by matching a large sample of survey data with administrative death records.…”
Section: Effects Of the Aca On Health Care Utilization And Healthmentioning
confidence: 99%