Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments
收藏NBER2019-12-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w26562
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资源简介：
Factorial designs are widely used for studying multiple treatments in one experiment. While t-tests based on the long model (including main and interaction effects) provide valid inferences against business-as-usual counterfactuals, short model t-tests (that ignore interactions) yield higher power
提供机构：
美国国家经济研究局
创建时间：
2019-12-01
