| 来源类型 | Discussion paper
|
| 规范类型 | 论文
|
| 来源ID | DP11962
|
| DP11962 Attrition in Randomized Control Trials: Using tracking information to correct bias |
| Karen Macours
|
| 发表日期 | 2017-04-13
|
| 出版年 | 2017
|
| 语种 | 英语
|
| 摘要 | This paper starts from a review of RCT studies in development economics, and
documents many studies largely ignore attrition once attrition rates are found bal-
anced between treatment arms. The paper analyzes the implications of attrition for
the internal and external validity of the results of a randomized experiment with
balanced attrition rates, and proposes a new method to correct for attrition bias.
We rely on a 10-years longitudinal data set with a final attrition rate of 10 percent,
obtained after intensive tracking of migrants, and document the sensitivity of ITT
estimates for schooling gains and labour market outcomes for a social program in
Nicaragua. We find that not including those found during the intensive tracking
leads to an overestimate of the ITT effects for the target population by more than
35 percent, and that selection into attrition is driven by observable baseline char-
acteristics. We propose to correct for attrition using inverse probability weighting
with estimates of weights that exploit the similarities between missing individuals
and those found during an intensive tracking phase. We compare these estimates
with alternative strategies using regression adjustment, standard weights, bounds
or proxy information. |
| 主题 | Development Economics
|
| 关键词 | Attrition
Randomized control trials
Long-term evaluation
|
| URL | https://cepr.org/publications/dp11962
|
| 来源智库 | Centre for Economic Policy Research (United Kingdom)
|
| 资源类型 | 智库出版物
|
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/540773
|
推荐引用方式
GB/T 7714 |
Karen Macours. DP11962 Attrition in Randomized Control Trials: Using tracking information to correct bias. 2017.
|
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