Build a Staggered Policy Rollout Impact Study Workspace
Study a policy introduced at different times across locations. Make comparison groups, timing assumptions, pretrends, and uncertainty visible before presenting an effect estimate.
What you are building
A treated region moves from 10 to 16 while its comparison region moves from 8 to 10. The simple difference in changes is four. Build a rollout study that makes treatment dates, comparison groups, and pre-intervention trends inspectable. The arithmetic example does not establish that the same estimator is valid for staggered adoption.
Rules
The two-period fixture checks arithmetic, not a valid estimator for every staggered design. No fabricated records, source citations, professional endorsements, or expert-adjudication claims. No future-data leakage into dated decisions, model fitting, or historical valuation inputs. No unauthorized payments, account restrictions, regulatory filings, or production changes. No automated appraisal certification, tax-compliance determination, or unsupported fraud accusation. No concealed uncertainty or silently invented inputs required for a numerical conclusion.
How work is evaluated
100-point weighted review with safety gates. Visible starter cases do not establish full application correctness.
A reproducible cohort-based impact workflow. A report with estimands, comparison rules, uncertainty, and falsification results. Runnable local application, setup commands, and a dependency lockfile. Versioned input data, data dictionary, acquisition instructions, and rights notes. Calculation traces, source references, assumption records, and exported review artifacts. A deterministic baseline and tests for normal, incomplete, contradictory, and failure-recovery cases. A recorded complete workflow with a reproducible manifest and explicit limitations.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
Learning goals
Define the estimand and eligible comparison cohorts.
Inspect event-time patterns and treatment timing.
Estimate cohort-aware effects with appropriate clustered uncertainty.
Export robustness results and an identification decision log.
Resources
3 attached datasets, including two visible synthetic starter cases. POL-02 noiseless staggered adoption practice. Known synthetic construction is not empirical identification. The fixture ZIP supplies synthetic exercise inputs. It does not supply independently verified real-world records.
Challenge setup
Challenge input
Input details are not configured.
Agent execution
No agent tool is listed for this challenge.
Evaluated output
No output checks are configured.
- Rubric dimension 1
- Rubric dimension 2
- Rubric dimension 3
- 2 public reference cases
- No runtime settings are configured.
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
No tool records are attached.
Evaluation contract
- Rubric dimension 1 · Weight 30
- Rubric dimension 2 · Weight 25
- Rubric dimension 3 · Weight 20
- Rubric dimension 4 · Weight 15
- Rubric dimension 5 · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.