Build an Eligibility-Cutoff Impact Analysis Workbench
Investigate outcomes around a policy eligibility threshold. Expose bandwidth choices, assignment irregularities, and the local scope of any estimated discontinuity.
What you are building
At an eligibility threshold, the outcome jumps by two and treatment probability by 0.5. Their ratio is four. Build a cutoff study that shows the observations on both sides and how the estimate changes with bandwidth. Flag a weak treatment jump before interpreting the ratio. Keep conclusions local to the cutoff.
Rules
The fixture threshold is a fictional diagnostic rule, not a universal statistical standard. 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 local-estimation pipeline. A policy memo stating the population near the cutoff and unresolved threats. 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
Inspect assignment and running-variable density near the cutoff.
Fit prespecified local models with bandwidth sensitivity.
Separate outcome discontinuity from treatment discontinuity.
Export local estimates, diagnostics, and extrapolation limits.
Resources
2 attached datasets, including two visible synthetic starter cases. 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.