Bridging Randomized Experiments and Observational Studies

连接随机实验和观察研究

• 批准号: 9709359
• 负责人: Donald Rubin
• 金额: $ 15.01万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-15 至 2000-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9709359&HistoricalAwards=false
• 关键词: Bridging; Randomized; Experiments; Observational; Studies

Although perfect randomized experiments are the gold-standard for drawing causal inferences about the effects of treatments, they are often impossible to conduct to address important questions. Limitations of randomized experiments include ethical considerations with human subjects, length of time to implement, and complications such as noncompliance. Recent work for drawing causal inferences in non-randomized studies that combines both statistical and traditional econometric approaches in creative ways shows great promise for building new and important bridges between the perfectly controlled randomized experiment and the uncontrolled observational study. Continuing this work should lead to important new techniques for the analysis of imperfect studies for causal effects. Substantial current applications include inference for the effectiveness of `choice` programs relative to standard programs for elementary school education.

尽管完美的随机实验是对治疗效果进行因果推论的黄金标准，但它们通常无法解决重要问题。 随机实验的局限性包括对人类受试者的伦理考虑、实施时间的长短以及不合规等并发症。 最近在非随机研究中得出因果推论的工作，以创造性的方式结合了统计和传统计量经济学方法，显示出在完全受控随机实验和非受控观察研究之间建立新的重要桥梁的巨大希望。 继续这项工作应该会产生重要的新技术，用于分析不完善的因果效应研究。 当前的大量应用包括推断“选择”计划相对于小学教育标准计划的有效性。