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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w28886 |
来源ID | Working Paper 28886 |
Synthetic Controls with Staggered Adoption | |
Eli Ben-Michael; Avi Feller; Jesse Rothstein | |
发表日期 | 2021-06-07 |
出版年 | 2021 |
语种 | 英语 |
摘要 | Staggered adoption of policies by different units at different times creates promising opportunities for observational causal inference. Estimation remains challenging, however, and common regression methods can give misleading results. A promising alternative is the synthetic control method (SCM), which finds a weighted average of control units that closely balances the treated unit’s pre-treatment outcomes. In this paper, we generalize SCM, originally designed to study a single treated unit, to the staggered adoption setting. We first bound the error for the average effect and show that it depends on both the imbalance for each treated unit separately and the imbalance for the average of the treated units. We then propose "partially pooled" SCM weights to minimize a weighted combination of these measures; approaches that focus only on balancing one of the two components can lead to bias. We extend this approach to incorporate unit-level intercept shifts and auxiliary covariates. We assess the performance of the proposed method via extensive simulations and apply our results to the question of whether teacher collective bargaining leads to higher school spending, finding minimal impacts. We implement the proposed method in the augsynth R package. |
主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Education ; Labor Economics ; Labor Relations |
URL | https://www.nber.org/papers/w28886 |
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/586560 |
推荐引用方式 GB/T 7714 | Eli Ben-Michael,Avi Feller,Jesse Rothstein. Synthetic Controls with Staggered Adoption. 2021. |
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 | ||
w28886.pdf(7584KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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