Using Split Samples to Improve Inference on Causal Effects

@inproceedings{Fafchamps2017UsingSS,
  title={Using Split Samples to Improve Inference on Causal Effects},
  author={Marcel Fafchamps and Julien Labonne},
  year={2017}
}
We discuss a statistical procedure to carry out empirical research that combines recent insights about pre-analysis plans and replication. Researchers send their datasets to an independent third party who randomly generates training and testing samples. Researchers perform their analysis on the training sample and are able to incorporate feedback from both colleagues, editors and referees. Once the paper is accepted for publication the method is applied to the testing sample and it is those… CONTINUE READING
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