How To Condition Causal Effects on Factual Manipulation Checks Without Inducing Post-Treatment Bias

• In Event: Surveys and Experiments

Brief Overview

We propose a novel split-sample approach conditioning estimates of causal effects on the passage of factual manipulation checks without inducing post-treatment bias.

Authors

• Sean Shiyao Liu, Massachusetts Institute of Technology

• Zach Markovich, Massachusetts Institute of Technology