Abstract

Impact evaluations can help to inform policy decisions, but they are rooted in particular contexts and to what extent they generalize is an open question. I exploit a new data set of impact evaluation results and find a large amount of effect heterogeneity. Effect sizes vary systematically with study characteristics, with government-implemented programs having smaller effect sizes than academic or non-governmental organization-implemented programs, even controlling for sample size. I show that treatment effect heterogeneity can be appreciably reduced by taking study characteristics into account.

中文翻译：

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我们可以从影响评估中得出多少？

摘要

影响评估可以帮助制定政策决策，但它们植根于特定的环境，在多大程度上可以概括为一个悬而未决的问题。我使用了影响评估结果的新数据集，并发现了大量的影响异质性。效应的大小随研究特征而系统地变化，政府实施的计划的影响大小小于学术或非政府组织实施的计划，甚至控制样本量。我表明，通过考虑研究特征可以明显降低治疗效果的异质性。