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medRxiv preprint doi: https://doi.org/10.1101/2024.09.20.24314075; this version posted September 24, 2024. The copyright holder for this preprint (which was not certified by peer review) is the author/funder,

How to fill out validation of a difference-in-differences

How to fill out validation of a difference-in-differences

1. Define your treatment and control groups.
2. Collect pre-intervention data for both groups to establish a baseline.
3. Ensure parallel trends in pre-intervention periods using statistical tests or visual inspections.
4. Conduct the difference-in-differences analysis by comparing the changes over time between the treatment and control groups.
5. Validate your findings with robustness checks, such as placebos or alternative specifications.
6. Document any assumptions made in your analysis for transparency.

Who needs validation of a difference-in-differences?

1. Researchers conducting policy evaluations.
2. Academics working in economics or social sciences.
3. Organizations assessing the impact of an intervention.
4. Government agencies evaluating the effects of legislation.

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What is validation of a difference-in-differences?

Validation of a difference-in-differences is a statistical technique used to confirm the credibility and reliability of causal inferences made from observational data by comparing the changes in outcomes over time between a treatment group and a control group.

Who is required to file validation of a difference-in-differences?

Researchers and analysts conducting empirical studies that utilize difference-in-differences as their methodological framework are typically required to file a validation of their findings to ensure the robustness of their statistical analysis.

How to fill out validation of a difference-in-differences?

To fill out validation of a difference-in-differences, you should provide an overview of your study design, detail your data sources, specify the treatment and control groups, describe your methodological approach, and include statistical tests performed to validate the model.

What is the purpose of validation of a difference-in-differences?

The purpose of validation of a difference-in-differences is to demonstrate that the estimated treatment effects are reliable, to rule out alternative explanations for the observed effects, and to provide transparency regarding the analysis conducted.

What information must be reported on validation of a difference-in-differences?

The information that must be reported includes the sample size, outcome metrics, treatment and control group characteristics, key assumptions made in the analysis, and results from any supplementary robustness checks.