Course · Advanced - Robustness Review for Research

Learning outcomes

• Design sensitivity checks that match the original hypothesis
• Separate a fragile parameter choice from a stable conclusion
• Use alternative samples without creating overfitting
• Write a transparent research review for a critical reader

Strong research is willing to look for the reasons it may not hold up. This short advanced module makes that review process explicit.

What the module covers

• Parameter sensitivity and alternative specifications
• Sample choices, survivorship and data revisions
• Out-of-sample review and practical replication
• A concise checklist for research sign-off