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来源类型Working Paper
规范类型报告
DOI10.3386/w28886
来源IDWorking 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
URLhttps://www.nber.org/papers/w28886
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/586560
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Eli Ben-Michael,Avi Feller,Jesse Rothstein. Synthetic Controls with Staggered Adoption. 2021.
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