嵌入聚类随机实验的地理拟实验的外部和内部有效性

Sebastian Galiani, Patrick J. McEwan, B. Quistorff
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引用次数: 5

摘要

本文分析了洪都拉斯集群随机实验中嵌入的地理准实验。在实验中,对入学率和童工的平均治疗效果很大,尤其是在最贫穷的街区,并且可以推广到与政策相关的人群,因为原始的样本选择标准。相比之下,地理准实验得出的点估计,对于三个因变量中的两个,是衰减的。一个没有接触实验结果的明智的政策分析师可能会根据点估计的大小提供误导性的建议。我们评估了两种主要解释点估计的差异,与外部和内部效度有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
External and Internal Validity of a Geographic Quasi-Experiment Embedded in Cluster-Randomized Experiment
This paper analyzes a geographic quasi-experiment embedded in a cluster-randomized experiment in Honduras. In the experiment, average treatment effects on school enrollment and child labor were large—especially in the poorest blocks—and could be generalized to a policy-relevant population given the original sample selection criteria. In contrast, the geographic quasi-experiment yielded point estimates that, for two of three dependent variables, were attenuated. A judicious policy analyst without access to the experimental results might have provided misleading advice based on the magnitude of point estimates. We assessed two main explanations for the difference in point estimates, related to external and internal validity.
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