| 来源类型 | Publication |
| 来源ID | White Paper |
| Best Practices in Causal Inference for Evaluations of Section 1115 Eligibility and Coverage Demonstrations | |
| Kara Contreary; Katharine Bradley; and Sandra Chao | |
| 发表日期 | 2018-06-30 |
| 出版者 | Washington, DC: Mathematica Policy Research |
| 出版年 | 2018 |
| 语种 | 英语 |
| 概述 | This guide, which uses examples from recent reforms for adult Medicaid beneficiaries, is intended to support demonstration states by describing best practices in causal inference.", |
| 摘要 | This guide, which uses examples from recent reforms for adult Medicaid beneficiaries, is intended to support demonstration states by describing best practices in causal inference. In this context, “causal inference” is the process of determining whether a demonstration policy (also called the treatment) is responsible for an observed outcome. Establishing an association between treatment and outcome variables is relatively straightforward, requiring only that they move reliably in the same or opposite directions. Establishing causation—that is, confidence that a change in treatment caused observed changes in outcomes—is much more difficult. Yet a primary goal of demonstration evaluations is to determine whether particular state Medicaid policies cause changes in outcomes such as health care access, utilization, and costs, and—in the case of some eligibility and coverage policies—the uptake of commercial coverage. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/best-practices-in-causal-inference-for-evaluations-of-section-1115-eligibility-and-coverage |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/489289 |
| 推荐引用方式 GB/T 7714 | Kara Contreary,Katharine Bradley,and Sandra Chao. Best Practices in Causal Inference for Evaluations of Section 1115 Eligibility and Coverage Demonstrations. 2018. |
| 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 | ||
| causal inference sec（981KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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