Analysis
Causal Impact of Ad Campaign for Sustainable Fashion Brand
FreeVerified credential3 weeksAdvanced
Overview
What this challenge is about.
You are given weekly sales data for EcoWear and a competitor (control) for 2022-2023. The campaign started in week 10 of 2023. Your task is to implement a DiD model, test the parallel trends assumption, and estimate the average treatment effect on the treated (ATT). Success means a valid DiD estimate with standard errors and a robustness check (e.g., placebo test).
CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced
The Brief
What you'll do, and what you'll demonstrate.
Estimate the causal impact of the digital ad campaign on weekly sales using difference-in-differences.
Earning criteria — what you'll demonstrate
- Implement difference-in-differences estimator for causal inference
- Test the parallel trends assumption graphically and statistically
- Interpret DiD coefficient as average treatment effect
- Conduct placebo tests to validate causal identification
- Communicate causal findings to non-technical stakeholders
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.