Blog Post Plan — DiD Series
Completed
| # | Post | File | Status |
|---|---|---|---|
| 1 | Interpreting Event Studies Across Modern DiD Methods | posts/event_study_comparison/event_study_comparison.ipynb |
Done |
| 2 | Five Ways to Improve Your Event Study Plots | posts/event_study_best_practices/event_study_best_practices.ipynb |
Done |
| 3 | Sensitivity Analysis for Parallel Trends | posts/parallel_trends_sensitivity/parallel_trends_sensitivity.ipynb |
Done |
| — | SynthDiD post updated with TROP (Athey et al. 2025) | posts/synthetic_did/synthetic_did.ipynb |
Done |
| — | Project entry for diff-diff contribution | projects.qmd |
Done |
Remaining
Post 4: Standard Errors for DiD (deferred to “later”)
- Cluster-robust, heteroskedasticity-robust, bootstrap, Wild Cluster Bootstrap
- Hansen (2025) — “Standard Errors for Difference-in-Difference Regression”
- Reference PDF in
notebooks/J of Applied Econometrics - 2025 - Hansen...pdf
Housekeeping
- Cover images needed for all new posts:
posts/event_study_comparison/(referenced asevent_study_cover.png)posts/event_study_best_practices/(referenced asbest_practices_cover.png)posts/parallel_trends_sensitivity/(referenced assensitivity_cover.png)assets/cover/diff-diff.png(project card)
Exploration Notebooks (source material)
notebooks/diff_diff_plotting_exploration.ipynb— ggfixest gap analysis,iplot_data(),ggiplot()prototypesnotebooks/honest_inference_exploration.ipynb— sup-t bands, smoothest path, functional SCBs, multi-model fairness
Python Package (separate project)
- Built at
C:\Users\danny\OneDrive\Profesional\diff-diff-contrib - Visualization & honest inference extensions for the diff-diff package