Using Split Samples to Improve Inference about Causal Effects
收藏NBER2016-01-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w21842
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资源简介：
We discuss a method aimed at reducing the risk that spurious results are published. Researchers send their datasets to an independent third party who randomly generates training and testing samples. Researchers perform their analysis on the former and once the paper is accepted for publication the
我们探讨了一种旨在降低虚假结果被发表风险的方法。研究人员将其数据集发送给独立第三方，该第三方随机生成训练样本和测试样本。研究人员对前者（训练样本）进行分析，且一旦论文被接受发表，
提供机构：
美国国家经济研究局
创建时间：
2016-01-01
