| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25568 |
| 来源ID | Working Paper 25568 |
| Simulated Power Analyses for Observational Studies: An Application to the Affordable Care Act Medicaid Expansion | |
| Bernard Black; Alex Hollingsworth; Leticia Nunes; Kosali Simon | |
| 发表日期 | 2019-02-18 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | Power is an important factor in assessing the likely validity of a statistical estimate. An analysis with low power is unlikely to produce convincing evidence of a treatment effect even when one exists. Of greater concern, a statistically significant estimate from a low-powered analysis is likely to overstate the magnitude of the true effect size, often finding estimates of the wrong sign or that are several times too large. Yet statistical power is rarely reported in published economics work. This is in part because modern research designs are complex enough that power cannot always be easily ascertained using simple formulae. Power can also be difficult to estimate in observational settings where researchers may not know—and have no ability to manipulate—the true treatment effect or other parameters of interest. Using an ap-plied example—the link between gaining health insurance and mortality—we conduct a simulated power analysis to outline the importance of power and ways to estimate power in complex research settings. We find that standard difference-in-differences and triple differences analyses of Medicaid expansions using county or state mortality data would need to induce reductions in population mortality of at least 2% to be well powered. While there is no single, correct method for conducting a simulated power analysis, our manuscript outlines decisions relevant for applied researchers interested in conducting simulations appropriate to other settings. |
| 主题 | Health, Education, and Welfare ; Health |
| URL | https://www.nber.org/papers/w25568 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/583242 |
| 推荐引用方式 GB/T 7714 | Bernard Black,Alex Hollingsworth,Leticia Nunes,et al. Simulated Power Analyses for Observational Studies: An Application to the Affordable Care Act Medicaid Expansion. 2019. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w25568.pdf（1054KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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