pymc-labs / pymc-labs/CausalPy
[meta issue] Additional quasi-experimental procedures tracker
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enhancement
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 115
- Avg merge
- 6d 1h
- Merged PRs (30d)
- 11
Description
Synthetic control extensions
- Augmented synthetic control: https://github.com/pymc-labs/CausalPy/issues/365
- Synthetic difference-in-differences: https://github.com/pymc-labs/CausalPy/issues/47)
DiD extensions
- Event studies https://github.com/pymc-labs/CausalPy/pull/584
- Staggered interventions: https://github.com/pymc-labs/CausalPy/pull/621
- Difference-in-Differences-in-Differences (DDD): #704
- Staggered Difference-in-Differences-in-Differences (DDD): #705
- Hierarchical DiD: #656
RD/RK variants
- Donut RD: https://github.com/pymc-labs/CausalPy/issues/609 , https://github.com/pymc-labs/CausalPy/pull/610
- Fuzzy RD: Issue](https://github.com/pymc-labs/CausalPy/issues/221
- Difference-in-discontinuities [Paper 1, Paper 2]
ITS variants
- Comparative ITS: https://github.com/pymc-labs/CausalPy/pull/595)
- Transfer function ITS: https://github.com/pymc-labs/CausalPy/pull/548)
- PiecewiseITS: [Paper 1, Paper 2, Paper 3, Paper 4] #613, https://github.com/pymc-labs/CausalPy/pull/614
- Changepoint ITS: https://github.com/pymc-labs/CausalPy/issues/767
Panel regression
- Add a new
PanelRegressionexperiment class. It will consume existing linear models. https://github.com/pymc-labs/CausalPy/pull/628
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No implementation files, tests, or entry points are named. Start by reviewing the unchecked issues and pull requests for the listed synthetic-control, DiD, RD/RK, ITS, and panel-regression procedures; done means the tracker accurately reflects which procedures are implemented or still have active follow-up work.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100